TrustScale

Title: AI Quality Italian Reviewer - FC projects Location: RO Department: Production Job Description: G Department:Production Location:Romania START YOUR APPLICATION Good AI is built on good judgment. TrustScale is looking for experienced Italian-language professionals who can distinguish between an acceptable response and an exceptional one. As an AI Quality Reviewer, you will evaluate AI-generated content, identify quality issues, and help establish the standards that AI systems learn from. This is more than checking boxes or following a script. We are looking for people who can think critically, spot nuances, and make consistent quality decisions. We are seeking experienced reviewers to support upcoming AI quality initiatives. Applications are reviewed on a rolling basis. Remote | Freelance | Flexible Hours | Paid in USD What You'll Do - Review AI-generated responses in Italian - Evaluate quality, factual accuracy, relevance, and consistency - Identify errors, gaps, and guideline deviations - Assess annotation outputs and reviewer decisions - Provide clear quality feedback and rationale - Participate in training and calibration sessions - Maintain high quality while meeting project expectations We're Looking For - Native or near-native Italian proficiency - Strong English reading comprehension - Experience in quality assurance, fact-checking, content review, annotation, search evaluation, research, editorial work, or similar analytical roles - Excellent attention to detail - Strong critical-thinking and decision-making skills - Ability to work independently and apply guidelines consistently Bonus Points - Experience with AI, LLMs, or response evaluation - Search quality or data annotation review experience - Background in journalism, linguistics, translation, education, or research Why TrustScale - Flexible remote work - Paid in USD - Long-term project opportunities - Exposure to advanced AI evaluation methodologies - Opportunity to progress into senior AI Quality and QC Specialist roles At TrustScale, quality is not measured by how much work is completed. It is measured by how well human expertise helps AI make better decisions.

Role Description We are looking for an experienced AI Project Manager who can lead complex AI and data programs end-to-end, align cross-functional teams, and ensure consistent, high-quality delivery at scale. This role is not about coordination alone; it is about ownership, structure, and execution discipline in dynamic AI environments. How You Work - Strategic executors – you connect high-level objectives to structured execution plans - Accountable owners – you take full responsibility for delivery outcomes - Structured and disciplined – especially when managing scope, risk, and resources - Clear communicators – concise, direct, and stakeholder-oriented - Decisive under pressure – comfortable operating in fast-paced, evolving AI contexts - Continuous improvers – you optimize processes instead of maintaining the status quo What You’ll Own - End-to-End Project Leadership - Lead complex AI and data service projects from planning through final delivery - Define project scope, milestones, timelines, and resource allocation - Translate business and client requirements into structured execution roadmaps - Ensure alignment between operations, engineering, QA, and client-facing teams - Maintain strict control over scope, quality, timeline, and budget expectations - Stakeholder & Risk Management - Serve as the primary project accountability point for internal and external stakeholders - Provide structured status reporting, progress visibility, and executive-level updates - Identify risks early and implement mitigation strategies proactively - Escalate critical issues with clarity and proposed solutions - Operational Excellence & Process Optimization - Drive continuous improvement in AI project workflows and delivery frameworks - Strengthen documentation, governance, and reporting standards - Mentor coordinators and junior team members when applicable - Ensure all deliverables meet TrustScale’s standards of quality, reliability, and scalability You will have direct impact on delivery performance, client trust, and operational maturity across AI programs. Qualifications - 5+ years of project management experience in AI, data services, or technology-driven environments - Proven experience leading multiple large-scale, complex projects simultaneously - Strong understanding of AI/ML workflows, data annotation, or human-in-the-loop (HITL) processes - Demonstrated ability to manage cross-functional, distributed teams - Strong analytical and problem-solving capabilities - Excellent stakeholder management and communication skills in English (written and spoken) - Hands-on experience with Agile, Scrum, or similar iterative frameworks - Bachelor’s degree in Project Management, Computer Science, Engineering, or related field Requirements - Preferred: PMP (PMI) certification and/or Agile/Scrum certifications - Experience managing global or multi-region AI programs Benefits - Global operations across regions and time zones - Exposure to cutting-edge AI and data programs - High-impact, delivery-driven environment - Direct collaboration with leadership and enterprise clients Company Description People join TrustScale to lead, build, and deliver meaningful AI systems at scale. If you are structured, accountable, and driven by execution excellence – we’d like to speak with you.

Evaluate AI-generated responses for factual accuracy, challenge unsupported conclusions, identify reasoning failures, and provide quality feedback to enhance AI systems' reliability and effectiveness.

Title: Spanish Annotator Location: Mexico Remote Department: Production Job Description: What this is about: At TrustScale (an e2f company), we offer an array of remote opportunities to work on compelling projects aimed at enhancing AI capabilities. As a significant team member, you will help shape the future of AI-driven solutions. We value your skills and domain expertise, offering competitive compensation and flexible working arrangements. Our team is seeking fluent Spanish speakers with extensive experience in research and fact-checking for an exciting annotation project. You’ll use your skills to evaluate different datasets and their accuracy. Careers At TrustScale Are you ready for new challenges and new opportunities? Join our team! Current job opportunities are posted here as they become available. What this is about: At TrustScale (an e2f company), we offer an array of remote opportunities to work on compelling projects aimed at enhancing AI capabilities. As a significant team member, you will help shape the future of AI-driven solutions. We value your skills and domain expertise, offering competitive compensation and flexible working arrangements. Our team is seeking fluent Spanish speakers with extensive experience in research and fact-checking for an exciting annotation project. You’ll use your skills to evaluate different datasets and their accuracy. We are looking for people who are: - Proficient in the English language - High level of Fluency in the Spanish language - Meticulous attention to detail is essential - Annotation experience is a big plus - Excellent communication and collaboration skills - Ability to prioritize and manage workload efficiently - Understanding of and adherence to project guidelines and policies. - Able to successfully complete a short qualifying test. Responsibilities: - You can commit a minimum of 4 hours per day - Flexible schedule (You can split your hours as you prefer). - Participate in a training meeting. - Adhere to deadlines and guideline standards. What We Offer: - Engage in exciting generative AI development from the convenience of your home. - Enjoy flexible work hours and availability. About Us: TrustScale (an e2f company) is dedicated to facilitating natural communication between people and machines across languages and cultures. With expertise in data science, we provide top-tier linguistic datasets for AI and NLP projects.

Title: AI Fact-Checking & Response Evaluation Reviewer (Spanish) Location: CO Department: Production Job Description: Mission of the Role Apply independent judgment to identify AI blind spots, reasoning failures, factual inaccuracies, contradictory evidence, and quality gaps. Successful reviewers do not simply validate AI-generated conclusions—they critically evaluate them. Your role is to verify evidence, challenge unsupported assumptions, and ensure AI systems learn from accurate, reliable, and well-supported information. Your expertise will help build more reliable, trustworthy, and human-centered AI systems. About the Role At TrustScale, we believe AI improves when people are willing to question it. As an AI Fact-Checking & Response Evaluation Reviewer, you will evaluate AI-generated responses, verify evidence, challenge unsupported conclusions, and help define the standards that AI systems learn from. Good AI is built on good judgment. TrustScale is seeking experienced Spanish -language professionals to evaluate AI-generated responses, verify factual accuracy, assess supporting evidence, and help define the quality standards that AI systems learn from. As an AI Fact-Checking & Response Evaluation Reviewer, you will review AI-generated content, determine whether conclusions are supported by evidence, identify reasoning gaps, challenge unsupported claims, and help improve the reliability of next-generation AI systems. This is not a traditional annotation, translation, or data-entry role. This role requires individuals who are comfortable questioning conclusions, investigating claims, and making evidence-based decisions—even when those decisions differ from AI-generated recommendations. The strongest reviewers are naturally curious, skeptical of unsupported claims, detail-oriented, and confident applying their own judgment when evaluating information. This is a remote freelance opportunity with flexible hours and payment in USD. Remote | Freelance | Flexible Schedule | Paid in USD We are seeking a small group of experienced reviewers to support upcoming AI quality initiatives. Applications are reviewed on a rolling basis. What You'll Do - Review and evaluate AI-generated responses in Spanish - Verify factual claims using reliable online sources and supporting evidence - Assess whether evidence supports, contradicts, or fails to support AI-generated conclusions - Identify AI blind spots, reasoning failures, factual inaccuracies, and quality gaps - Evaluate response quality, relevance, completeness, and alignment with user intent - Detect inconsistencies, unsupported claims, contradictory information, and missing evidence - Apply independent judgment rather than relying solely on automated decisions - Challenge AI-generated conclusions when evidence suggests a different outcome - Provide clear quality feedback and rationale for review decisions - Participate in training, calibration, and quality alignment sessions conducted in English - Maintain quality, consistency, commitment, and productivity expectations while meeting project requirements - Collaborate with project teams to continuously improve reviewer standards and AI quality outcomes What Success Looks Like Successful reviewers: - Verify information before accepting conclusions - Challenge AI-generated decisions when evidence suggests otherwise - Distinguish between supported, unsupported, and contradictory claims - Remain objective when evaluating information - Demonstrate consistency across complex review tasks - Maintain strong productivity while preserving quality standards - Use evidence rather than assumptions to make decisions - Take ownership of quality outcomes - Demonstrate reliability and commitment throughout the project lifecycle Required Qualifications - Native or near-native fluency in Spanish - Strong English proficiency, including the ability to understand guidelines and participate in training sessions - Previous experience in Fact-Checking, Quality Assurance, Content Review, Search Evaluation, Annotation Review, Trust & Safety, Data Quality, Linguistic QA, Research Analysis, or similar analytical roles - Excellent critical-thinking and analytical skills - Strong evidence-based decision-making abilities - Strong attention to detail and consistency - Ability to independently evaluate and challenge AI-generated conclusions - Ability to distinguish between factual support, contradiction, and insufficient evidence - Ability to interpret complex queries and assess response quality accurately - Comfortable working with structured data and AI-related projects - Comfortable working with ambiguity and incomplete information - Ability to pass a qualification assessment in English Preferred Qualifications - Experience reviewing AI training data or annotation projects - Experience with Response Evaluation, Search Quality Rating, RLHF, LLM evaluation, AI model assessment, or human-in-the-loop review workflows - Experience in Fact-Checking, Trust & Safety, Information Verification, or Online Research - Background in journalism, research, education, editorial review, investigation, or content quality assessment - Experience providing quality feedback, coaching, or calibration support to reviewer teams - Experience working with time-sensitive content such as news, public information, sports, finance, or search-related content Why Join TrustScale - 100% remote and flexible work environment - Paid in USD - Work on cutting-edge AI and language technologies - Collaborate with a global network of AI quality professionals - Long-term opportunities for high-performing contributors - Potential growth into advanced AI Quality, Fact-Checking, and QC Specialist roles - Help shape how AI systems evaluate information and make decisions - Contribute directly to the development of safer, more reliable, and more trustworthy AI systems Qualification Process Due to the specialized nature of AI quality work, selected candidates will complete a qualification process before onboarding. This process may include guideline reviews, platform training, UI navigation exercises, knowledge assessments, fact-checking exercises, and project simulation tasks designed to evaluate quality, accuracy, consistency, critical thinking, decision-making skills, and overall readiness for project work. All qualification activities are unpaid and form part of the candidate evaluation process. Successful completion does not guarantee project placement, as final selection is based on assessment performance, demonstrated commitment, consistency of quality, project requirements, and available capacity. TrustScale seeks contributors who consistently deliver high-quality work, actively engage with project requirements, demonstrate reliability, and maintain strong reviewer judgment throughout the project lifecycle. About TrustScale TrustScale, an e2f company, empowers organizations to scale AI initiatives with confidence. We deliver high-quality data, evaluation, and AI solutions that help leading technology companies build more accurate, reliable, and trustworthy AI systems. At TrustScale, we believe that human judgment remains essential to building trustworthy AI. As an AI Fact-Checking & Response Evaluation Reviewer, your evaluations help determine whether AI-generated conclusions are supported by evidence, grounded in facts, and aligned with user needs. Your expertise helps define what good looks like—and your judgment becomes part of the foundation from which AI learns.

Title: Hindi Annotator Department:Production Location:India Job Description: What this is about: At TrustScale (an e2f company), we offer an array of remote opportunities to work on compelling projects aimed at enhancing AI capabilities. As a significant team member, you will help shape the future of AI-driven solutions. We value your skills and domain expertise, offering competitive compensation and flexible working arrangements. Our team is seeking fluent Hindi speakers with extensive experience in research and fact-checking for an exciting annotation project. You’ll use your skills to evaluate different datasets and their accuracy. We are looking for people who are: - Proficient in the English language - High level of Fluency in the Hindi language - Meticulous attention to detail is essential - Annotation experience is a big plus - Excellent communication and collaboration skills - Ability to prioritize and manage workload efficiently - Understanding of and adherence to project guidelines and policies. - Able to successfully complete a short qualifying test. Responsibilities: - You can commit a minimum of 4 hours per day - Flexible schedule (You can split your hours as you prefer). - Participate in a training meeting. - Adhere to deadlines and guideline standards. What We Offer: - Engage in exciting generative AI development from the convenience of your home. - Enjoy flexible work hours and availability. If you're interested: - Apply to our job advertisement. - We'll review your profile and, if it aligns with our search, we will contact you as soon as possible to share rates and further details. About Us: TrustScale (an e2f company) is dedicated to facilitating natural communication between people and machines across languages and cultures. With expertise in data science, we provide top-tier linguistic datasets for AI and NLP projects.

Title: AI Fact-Checking & Response Evaluation Reviewer (Japanese) Location: Japan Remote Department: Production Job Description: AI Fact-Checking & Response Evaluation Reviewer (Japanese) Mission of the Role Apply independent judgment to identify AI blind spots, reasoning failures, factual inaccuracies, contradictory evidence, and quality gaps. Successful reviewers do not simply validate AI-generated conclusions—they critically evaluate them. Your role is to verify evidence, challenge unsupported assumptions, and ensure AI systems learn from accurate, reliable, and well-supported information. Your expertise will help build more reliable, trustworthy, and human-centered AI systems. About the Role At TrustScale, we believe AI improves when people are willing to question it. As an AI Fact-Checking & Response Evaluation Reviewer, you will evaluate AI-generated responses, verify evidence, challenge unsupported conclusions, and help define the standards that AI systems learn from. Good AI is built on good judgment. TrustScale is seeking experienced Japanese -language professionals to evaluate AI-generated responses, verify factual accuracy, assess supporting evidence, and help define the quality standards that AI systems learn from. As an AI Fact-Checking & Response Evaluation Reviewer, you will review AI-generated content, determine whether conclusions are supported by evidence, identify reasoning gaps, challenge unsupported claims, and help improve the reliability of next-generation AI systems. This is not a traditional annotation, translation, or data-entry role. This role requires individuals who are comfortable questioning conclusions, investigating claims, and making evidence-based decisions—even when those decisions differ from AI-generated recommendations. The strongest reviewers are naturally curious, skeptical of unsupported claims, detail-oriented, and confident applying their own judgment when evaluating information. This is a remote freelance opportunity with flexible hours and payment in USD. Remote | Freelance | Flexible Schedule | Paid in USD We are seeking a small group of experienced reviewers to support upcoming AI quality initiatives. Applications are reviewed on a rolling basis. What You'll Do - Review and evaluate AI-generated responses in Japanese - Verify factual claims using reliable online sources and supporting evidence - Assess whether evidence supports, contradicts, or fails to support AI-generated conclusions - Identify AI blind spots, reasoning failures, factual inaccuracies, and quality gaps - Evaluate response quality, relevance, completeness, and alignment with user intent - Detect inconsistencies, unsupported claims, contradictory information, and missing evidence - Apply independent judgment rather than relying solely on automated decisions - Challenge AI-generated conclusions when evidence suggests a different outcome - Provide clear quality feedback and rationale for review decisions - Participate in training, calibration, and quality alignment sessions conducted in English - Maintain quality, consistency, commitment, and productivity expectations while meeting project requirements - Collaborate with project teams to continuously improve reviewer standards and AI quality outcomes What Success Looks Like Successful reviewers: - Verify information before accepting conclusions - Challenge AI-generated decisions when evidence suggests otherwise - Distinguish between supported, unsupported, and contradictory claims - Remain objective when evaluating information - Demonstrate consistency across complex review tasks - Maintain strong productivity while preserving quality standards - Use evidence rather than assumptions to make decisions - Take ownership of quality outcomes - Demonstrate reliability and commitment throughout the project lifecycle Required Qualifications - Native or near-native fluency in Japanese - Strong English proficiency, including the ability to understand guidelines and participate in training sessions - Previous experience in Fact-Checking, Quality Assurance, Content Review, Search Evaluation, Annotation Review, Trust & Safety, Data Quality, Linguistic QA, Research Analysis, or similar analytical roles - Excellent critical-thinking and analytical skills - Strong evidence-based decision-making abilities - Strong attention to detail and consistency - Ability to independently evaluate and challenge AI-generated conclusions - Ability to distinguish between factual support, contradiction, and insufficient evidence - Ability to interpret complex queries and assess response quality accurately - Comfortable working with structured data and AI-related projects - Comfortable working with ambiguity and incomplete information - Ability to pass a qualification assessment in English Preferred Qualifications - Experience reviewing AI training data or annotation projects - Experience with Response Evaluation, Search Quality Rating, RLHF, LLM evaluation, AI model assessment, or human-in-the-loop review workflows - Experience in Fact-Checking, Trust & Safety, Information Verification, or Online Research - Background in journalism, research, education, editorial review, investigation, or content quality assessment - Experience providing quality feedback, coaching, or calibration support to reviewer teams - Experience working with time-sensitive content such as news, public information, sports, finance, or search-related content Why Join TrustScale - 100% remote and flexible work environment - Paid in USD - Work on cutting-edge AI and language technologies - Collaborate with a global network of AI quality professionals - Long-term opportunities for high-performing contributors - Potential growth into advanced AI Quality, Fact-Checking, and QC Specialist roles - Help shape how AI systems evaluate information and make decisions - Contribute directly to the development of safer, more reliable, and more trustworthy AI systems Qualification Process Due to the specialized nature of AI quality work, selected candidates will complete a qualification process before onboarding. This process may include guideline reviews, platform training, UI navigation exercises, knowledge assessments, fact-checking exercises, and project simulation tasks designed to evaluate quality, accuracy, consistency, critical thinking, decision-making skills, and overall readiness for project work. All qualification activities are unpaid and form part of the candidate evaluation process. Successful completion does not guarantee project placement, as final selection is based on assessment performance, demonstrated commitment, consistency of quality, project requirements, and available capacity. TrustScale seeks contributors who consistently deliver high-quality work, actively engage with project requirements, demonstrate reliability, and maintain strong reviewer judgment throughout the project lifecycle.

Title: AI Fact-Checking & Response Evaluation Reviewer (Hindi) Location: IN Department: Production Job Description: Mission of the Role Apply independent judgment to identify AI blind spots, reasoning failures, factual inaccuracies, contradictory evidence, and quality gaps. Successful reviewers do not simply validate AI-generated conclusions—they critically evaluate them. Your role is to verify evidence, challenge unsupported assumptions, and ensure AI systems learn from accurate, reliable, and well-supported information. Your expertise will help build more reliable, trustworthy, and human-centered AI systems. About the Role At TrustScale, we believe AI improves when people are willing to question it. As an AI Fact-Checking & Response Evaluation Reviewer, you will evaluate AI-generated responses, verify evidence, challenge unsupported conclusions, and help define the standards that AI systems learn from. Good AI is built on good judgment. TrustScale is seeking experienced Hindi -language professionals to evaluate AI-generated responses, verify factual accuracy, assess supporting evidence, and help define the quality standards that AI systems learn from. As an AI Fact-Checking & Response Evaluation Reviewer, you will review AI-generated content, determine whether conclusions are supported by evidence, identify reasoning gaps, challenge unsupported claims, and help improve the reliability of next-generation AI systems. This is not a traditional annotation, translation, or data-entry role. This role requires individuals who are comfortable questioning conclusions, investigating claims, and making evidence-based decisions—even when those decisions differ from AI-generated recommendations. The strongest reviewers are naturally curious, skeptical of unsupported claims, detail-oriented, and confident applying their own judgment when evaluating information. This is a remote freelance opportunity with flexible hours and payment in USD. Remote | Freelance | Flexible Schedule | Paid in USD We are seeking a small group of experienced reviewers to support upcoming AI quality initiatives. Applications are reviewed on a rolling basis. What You'll Do - Review and evaluate AI-generated responses in Hindi - Verify factual claims using reliable online sources and supporting evidence - Assess whether evidence supports, contradicts, or fails to support AI-generated conclusions - Identify AI blind spots, reasoning failures, factual inaccuracies, and quality gaps - Evaluate response quality, relevance, completeness, and alignment with user intent - Detect inconsistencies, unsupported claims, contradictory information, and missing evidence - Apply independent judgment rather than relying solely on automated decisions - Challenge AI-generated conclusions when evidence suggests a different outcome - Provide clear quality feedback and rationale for review decisions - Participate in training, calibration, and quality alignment sessions conducted in English - Maintain quality, consistency, commitment, and productivity expectations while meeting project requirements - Collaborate with project teams to continuously improve reviewer standards and AI quality outcomes What Success Looks Like Successful reviewers: - Verify information before accepting conclusions - Challenge AI-generated decisions when evidence suggests otherwise - Distinguish between supported, unsupported, and contradictory claims - Remain objective when evaluating information - Demonstrate consistency across complex review tasks - Maintain strong productivity while preserving quality standards - Use evidence rather than assumptions to make decisions - Take ownership of quality outcomes - Demonstrate reliability and commitment throughout the project lifecycle Required Qualifications - Native or near-native fluency in Hindi - Strong English proficiency, including the ability to understand guidelines and participate in training sessions - Previous experience in Fact-Checking, Quality Assurance, Content Review, Search Evaluation, Annotation Review, Trust & Safety, Data Quality, Linguistic QA, Research Analysis, or similar analytical roles - Excellent critical-thinking and analytical skills - Strong evidence-based decision-making abilities - Strong attention to detail and consistency - Ability to independently evaluate and challenge AI-generated conclusions - Ability to distinguish between factual support, contradiction, and insufficient evidence - Ability to interpret complex queries and assess response quality accurately - Comfortable working with structured data and AI-related projects - Comfortable working with ambiguity and incomplete information - Ability to pass a qualification assessment in English Preferred Qualifications - Experience reviewing AI training data or annotation projects - Experience with Response Evaluation, Search Quality Rating, RLHF, LLM evaluation, AI model assessment, or human-in-the-loop review workflows - Experience in Fact-Checking, Trust & Safety, Information Verification, or Online Research - Background in journalism, research, education, editorial review, investigation, or content quality assessment - Experience providing quality feedback, coaching, or calibration support to reviewer teams - Experience working with time-sensitive content such as news, public information, sports, finance, or search-related content Why Join TrustScale - 100% remote and flexible work environment - Paid in USD - Work on cutting-edge AI and language technologies - Collaborate with a global network of AI quality professionals - Long-term opportunities for high-performing contributors - Potential growth into advanced AI Quality, Fact-Checking, and QC Specialist roles - Help shape how AI systems evaluate information and make decisions - Contribute directly to the development of safer, more reliable, and more trustworthy AI systems Qualification Process Due to the specialized nature of AI quality work, selected candidates will complete a qualification process before onboarding. This process may include guideline reviews, platform training, UI navigation exercises, knowledge assessments, fact-checking exercises, and project simulation tasks designed to evaluate quality, accuracy, consistency, critical thinking, decision-making skills, and overall readiness for project work. All qualification activities are unpaid and form part of the candidate evaluation process. Successful completion does not guarantee project placement, as final selection is based on assessment performance, demonstrated commitment, consistency of quality, project requirements, and available capacity. TrustScale seeks contributors who consistently deliver high-quality work, actively engage with project requirements, demonstrate reliability, and maintain strong reviewer judgment throughout the project lifecycle. About TrustScale TrustScale, an e2f company, empowers organizations to scale AI initiatives with confidence. We deliver high-quality data, evaluation, and AI solutions that help leading technology companies build more accurate, reliable, and trustworthy AI systems. At TrustScale, we believe that human judgment remains essential to building trustworthy AI. As an AI Fact-Checking & Response Evaluation Reviewer, your evaluations help determine whether AI-generated conclusions are supported by evidence, grounded in facts, and aligned with user needs. Your expertise helps define what good looks like—and your judgment becomes part of the foundation from which AI learns. Limited openings available. Early applications are encouraged.

Title: Spanish AI Quality Reviewer Location: Brazil Department: Production Job Description: Department:Production Good AI is built on good judgment. TrustScale is looking for experienced Spanish-language professionals who can distinguish between an acceptable response and an exceptional one. As an AI Quality Reviewer, you will evaluate AI-generated content, identify quality issues, and help establish the standards that AI systems learn from. This is more than checking boxes or following a script. We are looking for people who can think critically, spot nuances, and make consistent quality decisions. We are seeking a small group of experienced reviewers to support upcoming AI quality initiatives. Applications are reviewed on a rolling basis. Remote | Freelance | Flexible Hours | Paid in USD What You'll Do - Review AI-generated responses in Spanish - Evaluate quality, factual accuracy, relevance, and consistency - Identify errors, gaps, and guideline deviations - Assess annotation outputs and reviewer decisions - Provide clear quality feedback and rationale - Participate in training and calibration sessions - Maintain high quality while meeting project expectations We're Looking For - Native or near-native Spanish proficiency - Strong English reading comprehension - Experience in quality assurance, fact-checking, content review, annotation, search evaluation, research, editorial work, or similar analytical roles - Excellent attention to detail - Strong critical-thinking and decision-making skills - Ability to work independently and apply guidelines consistently Bonus Points - Experience with AI, LLMs, or response evaluation - Search quality or data annotation review experience - Background in journalism, linguistics, translation, education, or research Why TrustScale - Flexible remote work - Paid in USD - Long-term project opportunities - Exposure to advanced AI evaluation methodologies - Opportunity to progress into senior AI Quality and QC Specialist roles At TrustScale, quality is not measured by how much work is completed. It is measured by how well human expertise helps AI make better decisions.

Title: JA – Japanese Annotators (Fact-Checking) Location: Taiwan Department: Production Job Description: Remote | Freelance | Upcoming Project Are you fluent in Japanese (JA)? We’re currently hiring detail-oriented annotators for an upcoming Fact-Checking and Response Evaluation project. This freelance, remote role is ideal for professionals who enjoy analyzing content carefully, verifying factual accuracy, and applying structured guidelines with precision. What You’ll Do - Evaluate responses for factual accuracy and reliability - Apply fact-checking guidelines consistently - Identify misinformation, unsupported claims, or inaccuracies - Provide structured annotations based on project criteria - Maintain high quality and attention to detail Requirements - Fluent Japanese proficiency (native or non-native candidates are welcome) - Strong English comprehension (guidelines and training are in English) - Previous experience in fact-checking annotation - Excellent analytical and critical thinking skills - High attention to detail - Ability to follow evolving guidelines - Reliable availability and commitment What We Offer - Fully remote freelance work - Flexible working hours - Continuous support and updated guidelines - Opportunity to join a long-term fact-checking initiative Quality is our top priority. Please note that consistent quality performance is required to remain in the project.