24-MAG

Role Description We are sharing a specialised part-time consulting opportunity for Mandarin Chinese-speaking music and audio professionals experienced in music production, audio engineering, lyric evaluation, musical analysis, and generative audio quality review. This role supports current and upcoming remote consulting opportunities focused on evaluating AI-generated music in Mandarin Chinese. Selected professionals will assess lyrics, vocal performance, musicality, creativity, production quality, and prompt adherence while producing detailed annotations across genres, song structures, instrumentation, and audio characteristics. Key Responsibilities - Generative Music Evaluation - Compare AI-generated music samples and determine which output performs more effectively. - Evaluate musicality, creativity, prompt adherence, vocal quality, and overall production. - Assess lyrics, melody, arrangement, instrumentation, and stylistic consistency. - Identify audio artifacts, unnatural vocal delivery, structural weaknesses, and production issues. - Explain evaluation decisions clearly using appropriate musical and audio-engineering terminology. - Mandarin Chinese Lyrics & Vocal Review - Evaluate Mandarin Chinese-language lyrics for accuracy, fluency, natural phrasing, and creative quality. - Assess pronunciation, tonal accuracy, vocal expression, lyrical delivery, and alignment between words and music. - Identify grammatical, cultural, contextual, or stylistic issues in generated lyrics. - Review whether sung content remains coherent across verses, choruses, and other song sections. - Apply strong understanding of Mandarin tones, phrasing, idioms, and cultural references during evaluation. - Music Annotation & Classification - Classify tracks by genre, subgenre, musical style, and production characteristics. - Annotate song structure, instrumentation, vocal qualities, rhythm, harmony, and arrangement. - Apply structured taxonomies consistently across different tracks and musical categories. - Document notable transitions, production techniques, and performance characteristics. - Audio Quality & Training Data Review - Score music samples for suitability and quality within structured evaluation workflows. - Review audio for mix balance, clarity, dynamics, frequency content, and production polish. - Distinguish between creative variation and technical quality issues. - Maintain consistent review standards across repeated assignments and calibration exercises. Qualifications - At least 3 years of professional experience as a music producer, audio engineer, sound mixer, musician, composer, or related music professional. - Native or near-native proficiency in Mandarin Chinese. - Strong English proficiency and the ability to follow detailed project instructions. - Practical understanding of musical performance, theory, lyrics, arrangement, and production. - Experience writing or reviewing lyrical music in Mandarin Chinese. - Strong listening skills and the ability to explain subjective musical judgments clearly. - Availability to contribute at least 10 hours per week. Requirements - A degree in music, audio engineering, music production, composition, performance, or a related field is helpful. - Formal training covering musical performance, theory, composition, or lyric writing is highly relevant. - Conservatory education, studio experience, or equivalent professional expertise may also be considered. - Practical experience producing, recording, mixing, or evaluating Mandarin Chinese-language music is especially valuable. Benefits - Independent contractor role. - Fully remote with flexible scheduling. - Immediate project start. - Expected commitment of at least 10 hours per week. - Potential project duration of up to six months. - Competitive rates between $30–$55 per hour depending on expertise and project scope. - Weekly payments via Stripe or Wise. - The selection process may include a resume review and a conversational interview of approximately 25 minutes. - Projects may be extended, shortened, or adjusted depending on scope and performance. - Work will not involve access to confidential or proprietary information from any employer, client, or institution.

Role Description We are sharing a specialised full-time consulting opportunity for US-based finance professionals with experience coordinating cross-functional teams, managing contributor workflows, tracking operational quality, and supporting complex programme delivery. This role supports a high-impact generative AI initiative focused on coordinating finance-specific training-data operations. Selected professionals will manage day-to-day workflows across contributor teams, monitor progress and quality, resolve operational issues, and collaborate with finance specialists and programme leads to keep evaluation work accurate, consistent, and on schedule. Key Responsibilities - Finance Programme Coordination - Coordinate daily activities between finance-domain contributors, reviewers, subject matter experts, and programme leads - Maintain clear schedules, ownership structures, deadlines, and delivery expectations - Identify execution gaps and take appropriate action to keep finance-related workstreams progressing - Provide organised status updates covering progress, risks, dependencies, and outstanding decisions - Workflow & Task Management - Design and maintain task-tracking systems for finance evaluation and review activities - Establish clear escalation pathways, quality checks, and issue-resolution workflows - Monitor task allocation, completion rates, turnaround times, and contributor capacity - Improve operational processes to support consistent and efficient programme delivery - Quality & Performance Monitoring - Review contributor throughput and quality signals across finance-specific assignments - Identify performance trends, recurring errors, and areas requiring additional guidance - Prepare clear written feedback and operational reports for programme stakeholders - Support calibration and quality-control activities across contributor teams - Contributor Support & Issue Resolution - Triage finance-related questions raised by contributors and reviewers - Resolve operational queries using established programme guidelines - Escalate ambiguous or technically complex cases to appropriate subject matter experts - Document recurring questions and decisions to improve programme consistency Qualifications - Approximately 5–10 years of professional experience in finance, financial operations, or a related field - Experience coordinating cross-functional projects, operational programmes, or contributor teams - Direct experience managing analysts, reviewers, raters, contractors, or similar professional groups - Strong understanding of deadlines, quality standards, escalation processes, and operational reporting - Demonstrable professional progression into programme, project, or operational coordination responsibilities - Excellent written and verbal communication skills - Strong organisational judgment and practical problem-solving ability - Reliable availability for at least 35 hours per week during weekdays Requirements - A degree in finance, accounting, economics, business administration, operations, or a related field is highly relevant - Professional training in project management, programme operations, or financial analysis may be helpful - Equivalent professional experience in finance operations or cross-functional programme delivery may also be considered - Certifications such as PMP, CAPM, CFA, or comparable qualifications may be valuable Nice to Have - Experience coordinating large distributed teams or remote contributor programmes - Background in financial analysis, banking, investment operations, accounting, or risk - Familiarity with training-data operations, structured evaluation, annotation, or quality-review programmes - Experience building dashboards, trackers, escalation systems, or operational documentation - Knowledge of quality assurance, performance monitoring, and process improvement - Experience collaborating with technical teams, subject matter experts, and senior programme stakeholders - Familiarity with project-management and workflow tools used in fast-paced operational environments Why This Opportunity - Apply finance and programme-coordination experience to a high-impact generative AI initiative - Manage complex operational workflows involving finance specialists and contributor teams - Help maintain accuracy, consistency, and delivery quality across structured evaluation programmes - Collaborate with programme leads and subject matter experts on evolving operational requirements - Join a remote engagement with competitive hourly compensation Contract Details - Full-time W-2 contingent employment arrangement - Fully remote role available to candidates based in the United States - Expected commitment of at least 35 hours per week during weekdays - Competitive rates between $35–$55 per hour depending on expertise and project scope - Immediate availability is preferred - Work may include onboarding, programme calibration, contributor coordination, and ongoing quality review - Project scope and duration may be adjusted according to programme requirements and performance About the Platform This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy

Role Description We are sharing a specialised full-time consulting opportunity for US-based senior marketing professionals with deep experience in brand strategy, growth marketing, performance marketing, and structured evaluation of AI-generated content. This role supports a high-impact generative AI initiative focused on improving how advanced models reason about real-world marketing challenges. Selected professionals will design rigorous marketing tasks, evaluate model outputs against structured criteria, develop scoring frameworks, and provide practical feedback grounded in senior-level brand, growth, and campaign experience. Key Responsibilities - Marketing Strategy & Domain Guidance - Guide research and engineering teams on brand strategy, growth marketing, performance marketing, and campaign-planning concepts. - Identify gaps in model understanding across customer segmentation, positioning, channel strategy, creative development, and measurement. - Apply practical marketing judgment to complex scenarios involving brands, audiences, markets, and commercial objectives. - Ensure marketing tasks reflect realistic business decisions and professional standards. - Marketing Task & Solution Development - Design challenging, domain-relevant tasks grounded in real marketing practice. - Write accurate, well-reasoned solutions covering brand, growth, campaign, and performance-marketing scenarios. - Develop problems requiring strategic judgment, prioritisation, interpretation of data, and evaluation of trade-offs. - Ensure tasks are clear, internally consistent, and suitable for structured assessment. - AI Output Evaluation - Evaluate AI-generated marketing responses against established rubrics and scoring criteria. - Assess correctness, strategic judgment, reasoning quality, relevance, and practical applicability. - Compare alternative outputs and identify which response provides the stronger marketing recommendation. - Document factual errors, unsupported assumptions, weak strategic logic, and incomplete analysis. - Provide clear written feedback that supports improvements in model behaviour. - Rubric Development & Quality Calibration - Develop and refine evaluation guidelines for brand, growth, campaign, and performance-marketing tasks. - Define scoring criteria for strategic quality, commercial judgment, reasoning, and execution feasibility. - Participate in calibration activities with other marketing specialists. - Collaborate across teams to maintain consistency and accuracy throughout the training data. Qualifications - At least 8 years of dedicated professional experience in marketing. - Senior-level expertise in brand strategy, growth marketing, performance marketing, campaign strategy, or related areas. - Experience working within a recognised consumer brand, agency, technology company, or comparable organisation. - Prior hands-on experience evaluating LLM or AI-generated outputs using structured rubrics or scoring criteria. - Demonstrable career progression into senior manager, director, vice president, or comparable leadership responsibilities. - Strong commercial judgment and the ability to evaluate complex marketing decisions. - Excellent written and verbal communication skills. - Reliable availability for at least 35 hours per week during weekdays. Requirements - A degree in marketing, business administration, communications, economics, consumer psychology, or a related field is highly relevant. - Graduate-level education in marketing, strategy, business, or management may be helpful. - Equivalent senior professional experience in brand, growth, or performance marketing may also be considered. - Professional training in analytics, market research, digital marketing, or AI evaluation may be valuable. Nice to Have - Experience working with globally recognised brands, major agencies, or high-growth technology companies. - Background in consumer packaged goods, retail, digital platforms, media, advertising, or e-commerce. - Experience creating structured scoring rubrics, evaluation guidelines, or quality frameworks. - Familiarity with model training, human-feedback workflows, annotation, or AI quality assurance. - Strong understanding of customer research, positioning, acquisition, retention, and marketing measurement. - Experience reviewing campaign briefs, strategic plans, creative concepts, or performance reports. - Previous collaboration with product, analytics, research, engineering, or data-science teams. Why This Opportunity - Apply senior marketing expertise to an advanced generative AI initiative. - Influence how AI systems reason about brand, growth, and campaign strategy. - Design and assess challenging marketing problems grounded in practical commercial experience. - Collaborate with technical teams and experienced marketing specialists. - Join a full-time remote engagement with competitive hourly compensation. Contract Details - Full-time W-2 contingent employment arrangement. - Fully remote role available to candidates based in the United States. - Expected commitment of at least 35 hours per week during weekdays. - Competitive rates between $55–$75 per hour depending on expertise and project scope. - Prior experience evaluating AI or LLM outputs against structured rubrics is required. - Applicants should clearly describe relevant AI evaluation experience in their application. - Immediate availability is preferred. - Work may include onboarding, specialty calibration, task development, and ongoing quality review. - Project scope and duration may be adjusted according to programme requirements and performance. About the Platform This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy .

Role Description We are sharing a specialised part-time consulting opportunity for US-based ASIC and SoC engineers with hands-on experience in RTL design, functional verification, hardware debugging, IP integration, timing closure, or production silicon development. This role supports an advanced AI initiative focused on improving how models understand and solve real-world semiconductor engineering problems. Selected engineers will: - Create realistic chip design and verification tasks. - Develop complete reference solutions using SystemVerilog or Verilog. - Evaluate model-generated responses. - Apply practical engineering judgment gained through design, debugging, verification, and tapeout workflows. Qualifications - Hands-on experience in ASIC or SoC design, functional verification, formal verification, or related semiconductor engineering. - Strong fluency in SystemVerilog, Verilog, or both. - Experience with production silicon, tapeout, IP development, chip integration, or subsystem verification. - Solid knowledge of interface protocols, handshaking, backpressure, multiple clock domains, and multi-module dataflow. - Experience working independently on complex design or verification problems. - Strong written communication and the ability to explain hardware engineering decisions clearly. - Reliable availability for approximately 20–40 hours per week. Requirements - A degree in electrical engineering, computer engineering, electronics engineering, computer science, or a related technical field is highly relevant. - Graduate students, recent graduates, and experienced industry professionals may all be considered. - Advanced academic or professional work in digital design, semiconductor systems, computer architecture, or verification is valuable. - Equivalent hands-on engineering experience may also be considered. Benefits - Apply practical semiconductor engineering expertise to advanced AI development. - Create realistic tasks grounded in actual chip design and verification work. - Evaluate how AI systems approach complex RTL, debugging, and hardware-reasoning problems. - Collaborate with engineers across multiple ASIC and SoC specialisations. - Work remotely with a flexible part-time commitment and competitive hourly compensation. Contract Details - Part-time W-2 contingent employment arrangement. - Fully remote role available to candidates based in the United States. - Expected commitment of approximately 20–40 hours per week depending on availability. - Candidates should have confirmed availability without scheduling conflicts. - Competitive rates between $65–$95 per hour depending on expertise and project scope. - Work may include onboarding, technical calibration, task development, model evaluation, and peer review. - Project scope, workload, and duration may be adjusted according to programme requirements and performance.

Role Description We are sharing a specialised part-time consulting opportunity for experienced AI safety, trust and safety, public policy, journalism, scientific research, security, and content-evaluation professionals with strong judgment across complex and policy-sensitive subject matter. This role supports a frontier AI initiative focused on evaluating the safety, quality, factual accuracy, and alignment of advanced models. Selected professionals will review AI-generated responses across sensitive and ambiguous scenarios, apply structured safety policies and rubrics, identify behavioural failures, and provide detailed feedback that supports safer and more reliable model performance. Key Responsibilities - AI Safety & Quality Evaluation - Evaluate AI-generated responses for safety, factual accuracy, policy compliance, relevance, and overall quality. - Assess whether outputs demonstrate appropriate judgment across nuanced and ambiguous scenarios. - Identify unsafe, misleading, incomplete, or poorly reasoned responses. - Compare alternative outputs and determine which response better satisfies safety and quality standards. - Sensitive-Domain Content Review - Review content involving misinformation, political persuasion, self-harm, violence, cybersecurity, biosecurity, fraud, and other sensitive areas. - Apply appropriate evaluation standards across high-risk and grey-area scenarios. - Distinguish between legitimate informational requests, potentially harmful content, and clear policy violations. - Evaluate whether model responses remain useful while handling sensitive subject matter responsibly. - Rubric Application & Development - Apply structured rubrics used in AI safety benchmarking, RLHF, and supervised fine-tuning workflows. - Assess outputs against defined criteria covering safety, accuracy, reasoning, and instruction adherence. - Identify ambiguity, gaps, or inconsistencies within evaluation guidelines. - Contribute to the refinement of scoring standards, policy interpretations, and reviewer instructions. - Failure Analysis & Structured Feedback - Identify hallucinations, unsafe outputs, reasoning failures, and policy-compliance issues. - Classify recurring model weaknesses and behavioural patterns. - Provide clear written explanations supporting each evaluation decision. - Collaborate with researchers and safety teams on calibration and ongoing evaluation initiatives. Qualifications - At least 5 years of professional experience in AI safety, trust and safety, journalism, public policy, scientific research, security, content integrity, or a related field. - Strong analytical reasoning and the ability to assess nuanced, policy-sensitive scenarios consistently. - Excellent written English and the ability to explain complex evaluation decisions clearly. - Experience reviewing sensitive, high-risk, or ambiguous content. - Strong attention to factual accuracy, context, and policy interpretation. - Ability to work independently while applying detailed evaluation standards. - Professional residence in one of the eligible countries listed below. Educational Background - A bachelor's degree or higher in journalism, communications, psychology, sociology, public policy, law, biology, chemistry, computer science, or a related discipline is highly relevant. - Graduate-level education in policy, behavioural science, security, law, life sciences, or artificial intelligence may be valuable. - Equivalent specialist experience in safety evaluation, content integrity, scientific review, or risk analysis may also be considered. - Relevant research, policy, moderation, or AI evaluation work may strengthen an application. Nice to Have - Experience with AI safety, reinforcement learning from human feedback, supervised fine-tuning, trust and safety, or model evaluation. - Familiarity with content policies, safety standards, moderation frameworks, or rubric development. - Experience evaluating frontier AI models or language-model outputs. - Background in misinformation, political content, cybersecurity, biosecurity, scientific safety, or behavioural risk. - Experience participating in reviewer calibration or quality-assurance programmes. - Familiarity with structured annotation, safety benchmarking, or human-feedback workflows. - Previous collaboration with researchers, engineers, policy specialists, or safety teams. Why This Opportunity - Help shape the safety and behaviour of advanced AI systems. - Work across challenging real-world scenarios involving complex and sensitive topics. - Apply professional judgment to improve model alignment, factual quality, and policy compliance. - Collaborate with experienced AI researchers and safety specialists. - Participate in flexible remote work with competitive hourly compensation. Contract Details - Independent contractor role. - Fully remote with flexible scheduling. - Competitive rates between $55–$65 per hour depending on expertise and project scope. - Weekly payments via Stripe or Wise. - Eligible locations include Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, the Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Kosovo, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Monaco, the Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, San Marino, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, the United Kingdom, and the United States. - Projects may be extended, shortened, or adjusted depending on scope and performance. - Work will not involve access to confidential or proprietary information from any employer, client, or institution.

Role Description We are sharing a specialised part-time consulting opportunity for Italian-speaking music and audio professionals experienced in music production, audio engineering, lyric evaluation, musical analysis, and generative audio quality review. This role supports current and upcoming remote consulting opportunities focused on evaluating AI-generated music in Italian. Selected professionals will assess lyrics, vocal performance, musicality, creativity, production quality, and prompt adherence while producing detailed annotations across genres, song structures, instrumentation, and audio characteristics. Key Responsibilities - Generative Music Evaluation - Compare AI-generated music samples and determine which output performs more effectively. - Evaluate musicality, creativity, prompt adherence, vocal quality, and overall production. - Assess lyrics, melody, arrangement, instrumentation, and stylistic consistency. - Identify audio artifacts, unnatural vocal delivery, structural weaknesses, and production issues. - Explain evaluation decisions clearly using appropriate musical and audio-engineering terminology. - Italian Lyrics & Vocal Review - Evaluate Italian-language lyrics for accuracy, fluency, natural phrasing, and creative quality. - Assess pronunciation, vocal expression, lyrical delivery, and alignment between words and music. - Identify grammatical, cultural, contextual, or stylistic issues in generated lyrics. - Review whether sung content remains coherent across verses, choruses, and other song sections. - Music Annotation & Classification - Classify tracks by genre, subgenre, musical style, and production characteristics. - Annotate song structure, instrumentation, vocal qualities, rhythm, harmony, and arrangement. - Apply structured taxonomies consistently across different tracks and musical categories. - Document notable transitions, production techniques, and performance characteristics. - Audio Quality & Training Data Review - Score music samples for suitability and quality within structured evaluation workflows. - Review audio for mix balance, clarity, dynamics, frequency content, and production polish. - Distinguish between creative variation and technical quality issues. - Maintain consistent review standards across repeated assignments and calibration exercises. Qualifications - At least 3 years of professional experience as a music producer, audio engineer, sound mixer, musician, composer, or related music professional. - Native or near-native proficiency in Italian. - Strong English proficiency and the ability to follow detailed project instructions. - Practical understanding of musical performance, theory, lyrics, arrangement, and production. - Experience writing or reviewing lyrical music in Italian. - Strong listening skills and the ability to explain subjective musical judgments clearly. - Availability to contribute at least 10 hours per week. Requirements - A degree in music, audio engineering, music production, composition, performance, or a related field is helpful. - Formal training covering musical performance, theory, composition, or lyric writing is highly relevant. - Conservatory education, studio experience, or equivalent professional expertise may also be considered. - Practical experience producing, recording, mixing, or evaluating Italian-language music is especially valuable. Nice to Have - Experience with digital audio workstations and professional recording or mixing workflows. - Background in songwriting, lyric writing, vocal production, or music supervision. - Familiarity with structured audio taxonomies, metadata tagging, or music classification. - Experience evaluating generative music, synthetic vocals, or AI-assisted creative tools. - Knowledge of multiple music genres and contemporary production standards. - Previous involvement in audio annotation, AI evaluation, quality assurance, or training-data review. - Strong understanding of Italian linguistic nuance, pronunciation, lyrical phrasing, and cultural context. Why This Opportunity - Apply Italian-language and professional music expertise to structured remote project work. - Contribute to high-quality generative music and audio evaluation workflows. - Review creative outputs across lyrics, vocals, musical structure, and production quality. - Work on flexible assignments aligned with music production and analytical listening strengths. - Participate in a longer-term project with competitive hourly compensation. Contract Details - Independent contractor role. - Fully remote with flexible scheduling. - Immediate project start. - Expected commitment of at least 10 hours per week. - Potential project duration of up to six months. - Competitive rates between $30–$55 per hour depending on expertise and project scope. - Weekly payments via Stripe or Wise. - The selection process may include a resume review and a conversational interview of approximately 25 minutes. - Projects may be extended, shortened, or adjusted depending on scope and performance. - Work will not involve access to confidential or proprietary information from any employer, client, or institution.

Role Description We are sharing a specialised full-time consulting opportunity for US-based senior retail professionals with deep experience in merchandising, category management, buying, planning, retail operations, and structured evaluation of AI-generated outputs. This role supports a high-impact generative AI initiative focused on improving how advanced models reason through real-world retail challenges. Selected professionals will design rigorous retail tasks, evaluate model outputs against structured criteria, develop scoring frameworks, and provide practical feedback grounded in senior-level merchandising, category, planning, and operational experience. Key Responsibilities - Retail Strategy & Domain Guidance - Guide research and engineering teams on merchandising, category management, assortment planning, buying, and retail operations. - Identify gaps in model understanding across pricing, inventory, promotions, customer demand, store performance, and commercial planning. - Apply practical retail judgment to complex scenarios involving products, channels, suppliers, customers, and financial objectives. - Ensure retail tasks reflect realistic business decisions and current industry practices. - Retail Task & Solution Development - Design challenging, domain-relevant tasks grounded in real retail practice. - Write accurate, well-reasoned solutions covering merchandising, category, buying, planning, and operational scenarios. - Develop problems requiring commercial judgment, prioritisation, data interpretation, and evaluation of competing trade-offs. - Ensure tasks are clear, internally consistent, and suitable for structured assessment. - AI Output Evaluation - Evaluate AI-generated retail responses against established rubrics and scoring criteria. - Assess correctness, commercial judgment, reasoning quality, relevance, and practical applicability. - Compare alternative outputs and determine which response provides the stronger retail recommendation. - Identify factual errors, unsupported assumptions, weak commercial reasoning, and incomplete conclusions. - Provide clear written feedback that supports improvements in model behaviour. - Rubric Development & Quality Calibration - Develop and refine evaluation guidelines for merchandising, category management, planning, and retail operations tasks. - Define scoring criteria covering technical accuracy, commercial judgment, reasoning, and execution feasibility. - Participate in calibration activities with other retail specialists. - Collaborate across teams to maintain consistency and accuracy throughout the training data. Qualifications - At least 8 years of dedicated professional experience in retail. - Senior-level expertise in merchandising, category management, buying, planning, retail operations, or a related area. - Experience working within a recognised retailer, consumer brand, e-commerce platform, or comparable organisation. - Prior hands-on experience evaluating LLM or AI-generated outputs using structured rubrics or scoring criteria. - Demonstrable career progression into senior manager, director, vice president, or comparable leadership responsibilities. - Strong commercial judgment and the ability to assess complex retail decisions. - Excellent written and verbal communication skills. - Reliable availability for at least 35 hours per week during weekdays. Requirements - A degree in business administration, retail management, merchandising, supply chain, marketing, economics, or a related field is highly relevant. - Graduate-level education in business, strategy, operations, analytics, or management may be helpful. - Equivalent senior professional experience in retail strategy or operations may also be considered. - Professional training in category management, merchandising analytics, procurement, or commercial planning may be valuable. Benefits - Apply senior retail expertise to an advanced generative AI initiative. - Influence how AI systems reason about merchandising, category management, and retail operations. - Design and assess challenging retail problems grounded in practical commercial experience. - Collaborate with technical teams and experienced retail specialists. - Join a full-time remote engagement with competitive hourly compensation. Contract Details - Full-time W-2 contingent employment arrangement. - Fully remote role available to candidates based in the United States. - Expected commitment of at least 35 hours per week during weekdays. - Competitive rates between $55–$75 per hour depending on expertise and project scope. - Prior experience evaluating AI or LLM outputs against structured rubrics is required. - Applicants should clearly describe relevant AI evaluation experience in their application. - Immediate availability is preferred. - Work may include onboarding, specialty calibration, task development, and ongoing quality review. - Project scope and duration may be adjusted according to programme requirements and performance. About the Platform This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

Role Description We are sharing a specialised part-time consulting opportunity for US-based child and adolescent psychiatrists, clinical psychologists, and mental health researchers with expertise in youth mental health, suicide prevention, self-harm assessment, digital mental health, or evidence-based therapy. This role supports an AI safety research initiative focused on evaluating how companion chatbots respond to adolescents experiencing mental health challenges. Selected professionals will: - Develop clinically realistic case scenarios - Help establish evaluation standards - Review AI-generated conversations - Provide expert guidance across suicide risk, therapeutic boundaries, emotional dependency, and developmentally appropriate support Key Responsibilities - Adolescent Mental Health Scenario Development - Author fictionalised case scenarios informed by real-world child and adolescent mental health practice - Develop scenarios involving suicide risk, self-harm, emotional distress, therapeutic guidance, and dependency concerns - Ensure cases reflect realistic developmental, family, social, and clinical contexts - Define relevant risk indicators, safeguarding considerations, and expected response principles - Clinical & Developmental Review - Review scenarios for clinical realism, developmental appropriateness, and ethical quality - Assess whether adolescent language, behaviour, symptoms, and circumstances are represented accurately - Identify missing risk factors, unrealistic assumptions, and potentially misleading clinical framing - Apply child and adolescent mental health expertise across complex and sensitive cases - AI Conversation Evaluation - Review selected AI-generated conversations involving fictional adolescent users - Assess risk recognition, response quality, emotional tone, escalation, and crisis-referral decisions - Evaluate whether chatbot responses maintain appropriate therapeutic and relational boundaries - Identify responses that may reinforce emotional dependency, discourage trusted relationships, or overstate the system's capabilities - Provide structured clinical judgments that support evaluation-system calibration - Rubric Development & Safety Guidance - Help develop and refine clinician-informed scoring rubrics for chatbot responses - Define evaluation criteria covering safety, empathy, developmental appropriateness, clinical accuracy, and escalation - Advise on best practices for assessing suicide and self-harm responses, therapeutic impersonation, and parasocial attachment - Collaborate with researchers to maintain consistent standards across scenarios and evaluation workflows Qualifications - Substantial clinical or research experience focused on children and adolescents - Expertise in child and adolescent psychiatry, clinical child psychology, suicide prevention, self-harm assessment, or digital mental health - Experience with evidence-based approaches such as cognitive behavioural therapy or dialectical behaviour therapy - Strong understanding of risk recognition, safety planning, crisis referral, and safeguarding - Excellent written communication and the ability to provide structured clinical feedback - Comfort reviewing fictional clinical cases and AI-generated mental health conversations - Availability to contribute approximately 10–15 hours per week - Current residence in the United States Educational Background - An MD, DO, PhD, PsyD, or equivalent advanced qualification in psychiatry, psychology, or a related mental health field is required - Specialist training in child and adolescent psychiatry, clinical child psychology, suicidology, or digital mental health is highly relevant - Advanced research experience in youth mental health, crisis intervention, or therapeutic technologies may also be considered - Active clinical, academic, research, or advisory experience may strengthen an application Nice to Have - Experience conducting suicide-risk assessments or crisis interventions - Published or academic research in adolescent mental health, suicide prevention, digital therapeutics, or conversational technologies - Experience developing clinical guidelines, assessment frameworks, educational materials, or quality standards - Prior work involving AI, digital health platforms, mental health products, or chatbot evaluation - Experience supervising trainees or participating in multidisciplinary clinical teams - Familiarity with clinical benchmarking, structured review, safety evaluation, or automated assessment systems Why This Opportunity - Apply specialist mental health expertise to an important AI safety initiative - Help establish clinically grounded standards for AI systems used by adolescents - Influence how conversational technologies respond to suicide risk, emotional distress, and dependency concerns - Collaborate with researchers developing rigorous evaluation methods for AI companion chatbots - Participate in flexible remote work with highly competitive hourly compensation Contract Details - Independent contractor role - Fully remote with flexible scheduling - Available to professionals based in the United States - Expected commitment of approximately 10–15 hours per week - Competitive rates between $75–$145 per hour depending on qualifications, expertise, and project scope - Weekly payments via Stripe or Wise - Work may include scenario development, clinical review, rubric design, conversation evaluation, and calibration activities - Projects may be extended, shortened, or adjusted depending on scope and performance - Work will not involve access to confidential or proprietary information from any employer, client, or institution About the Platform This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy

Role Description We are sharing a specialised part-time consulting opportunity for experienced product and visual designers with strong expertise in layout, typography, colour, visual hierarchy, interface design, and polished digital experiences. This role supports remote design evaluation and creative review work requiring clear, well-supported aesthetic judgment. Selected professionals will assess visual quality, identify design weaknesses, explain improvement opportunities, and apply practical experience from high-quality technology products, digital platforms, or established design agencies. Key Responsibilities - Visual Design Evaluation - Review digital designs for layout, typography, colour, spacing, hierarchy, consistency, and overall polish. - Assess whether visual decisions support clarity, usability, brand alignment, and communication goals. - Identify design issues that reduce quality, coherence, accessibility, or user understanding. - Compare alternative design approaches and determine which solution performs more effectively. - Product & Interface Design Review - Evaluate product interfaces, visual systems, components, and end-to-end user experiences. - Review consistency across screens, interaction states, responsive layouts, and reusable design patterns. - Assess whether designs balance aesthetic quality with practical product requirements. - Provide recommendations grounded in established product and visual design principles. - Design Critique & Written Feedback - Explain aesthetic judgments clearly using professional design terminology. - Provide specific and actionable feedback rather than general subjective preferences. - Justify recommendations relating to composition, typography, colour, hierarchy, balance, and refinement. - Communicate complex visual decisions clearly to creative and non-creative stakeholders. - Quality Standards & Collaboration - Apply consistent evaluation standards across repeated design assignments. - Collaborate with other design specialists to align on quality expectations. - Incorporate feedback and calibration guidance into future reviews. - Maintain a high standard of accuracy, professionalism, and attention to detail. Qualifications - At least 4 years of hands-on professional experience in product design, visual design, UI design, or a closely related field. - Experience working at a recognised technology company, digital product organisation, or established design agency. - A strong professional portfolio demonstrating polished and commercially relevant design work. - Deep understanding of layout, typography, colour, visual hierarchy, composition, and interface refinement. - Ability to make clear, well-supported aesthetic judgments. - Strong attention to detail and sensitivity to visual inconsistencies. - Professional English fluency and excellent written communication skills. Requirements - A degree in graphic design, visual communication, interaction design, product design, digital media, or a related field is helpful. - Formal training in typography, composition, colour theory, interface design, or design systems is highly relevant. - Equivalent professional experience supported by a strong portfolio may also be considered. - Continued professional development in digital product design or visual systems may be valuable. Benefits - Apply senior-level design judgment to flexible remote consulting work. - Review a wide range of visual and product design outputs. - Use your professional portfolio experience to influence quality standards. - Work on assignments requiring both creative sensitivity and structured analytical thinking. - Access potential opportunities for increased responsibility, compensation, and project scope. Contract Details - Independent contractor role. - Fully remote with flexible scheduling. - Competitive rates between $45–$75 per hour depending on expertise and project scope. - A minimum of 4 years of hands-on professional design experience is required. - Applicants must provide a strong professional portfolio for review. - Professional English fluency is required. - Weekly payments via Stripe or Wise. - Projects may be extended, shortened, or adjusted depending on scope and performance. - Work will not involve access to confidential or proprietary information from any employer, client, or institution.

Role Description We are sharing a specialised part-time consulting opportunity for US English-speaking music and audio professionals experienced in music production, audio engineering, lyric evaluation, musical analysis, and generative audio quality review. This role supports current and upcoming remote consulting opportunities focused on evaluating AI-generated music in US English. Selected professionals will assess lyrics, vocal performance, musicality, creativity, production quality, and prompt adherence while producing detailed annotations across genres, song structures, instrumentation, and audio characteristics. Key Responsibilities - Generative Music Evaluation - Compare AI-generated music samples and determine which output performs more effectively. - Evaluate musicality, creativity, prompt adherence, vocal quality, and overall production. - Assess lyrics, melody, arrangement, instrumentation, and stylistic consistency. - Identify audio artifacts, unnatural vocal delivery, structural weaknesses, and production issues. - Explain evaluation decisions clearly using appropriate musical and audio-engineering terminology. - US English Lyrics & Vocal Review - Evaluate US English-language lyrics for accuracy, fluency, natural phrasing, and creative quality. - Assess pronunciation, vocal expression, lyrical delivery, and alignment between words and music. - Identify grammatical, cultural, contextual, or stylistic issues in generated lyrics. - Review whether sung content remains coherent across verses, choruses, and other song sections. - Apply familiarity with American English usage, pronunciation, idioms, and cultural references. - Music Annotation & Classification - Classify tracks by genre, subgenre, musical style, and production characteristics. - Annotate song structure, instrumentation, vocal qualities, rhythm, harmony, and arrangement. - Apply structured taxonomies consistently across different tracks and musical categories. - Document notable transitions, production techniques, and performance characteristics. - Audio Quality & Training Data Review - Score music samples for suitability and quality within structured evaluation workflows. - Review audio for mix balance, clarity, dynamics, frequency content, and production polish. - Distinguish between creative variation and technical quality issues. - Maintain consistent review standards across repeated assignments and calibration exercises. Qualifications - At least 3 years of professional experience as a music producer, audio engineer, sound mixer, musician, composer, or related music professional. - Native or near-native proficiency in US English. - Strong familiarity with American English pronunciation, vocabulary, phrasing, and cultural context. - Practical understanding of musical performance, theory, lyrics, arrangement, and production. - Experience writing or reviewing lyrical music in English. - Strong listening skills and the ability to explain subjective musical judgments clearly. - Availability to contribute at least 10 hours per week. Requirements - A degree in music, audio engineering, music production, composition, performance, or a related field is helpful. - Formal training covering musical performance, theory, composition, or lyric writing is highly relevant. - Conservatory education, studio experience, or equivalent professional expertise may also be considered. - Practical experience producing, recording, mixing, or evaluating US English-language music is especially valuable. Nice to Have - Experience with digital audio workstations and professional recording or mixing workflows. - Background in songwriting, lyric writing, vocal production, or music supervision. - Familiarity with structured audio taxonomies, metadata tagging, or music classification. - Experience evaluating generative music, synthetic vocals, or AI-assisted creative tools. - Knowledge of multiple music genres and contemporary production standards. - Previous involvement in audio annotation, AI evaluation, quality assurance, or training-data review. - Strong understanding of American English lyrical phrasing, pronunciation, idioms, and cultural references. Why This Opportunity - Apply US English-language and professional music expertise to structured remote project work. - Contribute to high-quality generative music and audio evaluation workflows. - Review creative outputs across lyrics, vocals, musical structure, and production quality. - Work on flexible assignments aligned with music production and analytical listening strengths. - Participate in a longer-term project with competitive hourly compensation. Contract Details - Independent contractor role. - Fully remote with flexible scheduling. - Immediate project start. - Expected commitment of at least 10 hours per week. - Potential project duration of up to six months. - Competitive rates between $30–$55 per hour depending on expertise and project scope. - Weekly payments via Stripe or Wise. - The selection process may include a resume review and a conversational interview of approximately 25 minutes. - Projects may be extended, shortened, or adjusted depending on scope and performance. - Work will not involve access to confidential or proprietary information from any employer, client, or institution. Company Description This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. 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