Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design graduate- and industry-level mechanical engineering problems grounded in real practice. - Evaluate AI-generated solutions for correctness, assumptions, and engineering logic. - Validate analytical or numerical results using Python (NumPy, SciPy, Pandas). - Improve AI reasoning to align with first principles and accepted engineering standards. - Apply structured scoring criteria to assess multi-step problem solving. What we look for This opportunity is a good fit for mechanical engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Mechanical Engineering or related fields, e.g. Thermodynamics, Fluid Mechanics, Mechanical Design, Computational Mechanics, etc. - 3+ years of professional mechanical engineering experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., PE, CEng, PMP) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Role Description We are sharing a specialised part-time consulting opportunity for German language experts with strong transcription, evaluation, and analytical writing skills. This role supports collaborations with a leading AI research laboratory working to improve advanced language models through audio transcription, annotation, benchmarking, and evaluation workflows in German. Selected professionals will help transcribe and analyse audio and video content, develop evaluation rubrics, assess model outputs, and contribute to improving the overall quality and reliability of multilingual AI systems. Key Responsibilities - Audio Transcription & Content Analysis - Listen to, analyse, and transcribe audio and video content in German following detailed constraints and instructions. - Produce high-quality written outputs in German, with supporting work in English when required. - Ensure clarity, accuracy, and strict adherence to formatting and stylistic guidelines. - Capture nuances such as tone, intent, and regional variations, including High German and dialectal influences, where relevant. - Evaluation Standards & Documentation - Establish clear expectations for correct and high-quality responses in general consumer audio contexts. - Develop detailed evaluation rubrics and grading guidelines in German and English. - Document standards to ensure consistency across reviewers and model evaluations. - Identify linguistic nuances, formal versus informal register distinctions, and edge cases specific to German. - Model Testing & Grading - Run prompts through language models and assess generated outputs. - Evaluate responses against predefined criteria for accuracy, completeness, fluency, and instructional clarity. - Provide structured feedback to improve model performance in German audio tasks. - Benchmarking & Quality Assurance - Participate in quality assurance and review cycles to ensure tasks, rubrics, and outputs meet project standards. - Maintain consistency and reliability before datasets are integrated into official benchmarks. - Collaborate with project leads to resolve ambiguities and improve task design. Qualifications - Native or near-native fluency in German, both spoken and written, and professional fluency in English. - Strong writing, editing, and critical thinking skills. - Ability to accurately transcribe and analyse German audio content across general consumer contexts. - Ability to work independently, manage time effectively, and meet deadlines. - Availability to commit 10–20 hours per week. - Strong attention to detail and ability to produce precise, well-structured written outputs. Requirements - College student or recent graduate. - Background in linguistics, humanities, social sciences, journalism, or technical disciplines. - Prior experience with transcription, annotation, localisation, evaluation, or research workflows in German. - Familiarity with regional dialects such as Austrian German or Swiss German and register distinctions. - Interest in AI, language models, or applied research environments. Benefits - Contribute directly to a high-impact audio AI research project. - Gain hands-on exposure to real-world AI research and evaluation workflows. - Help benchmark and improve advanced multilingual language models. - Flexible remote work with clear tooling, structured guidelines, and competitive compensation. Contract Details - Independent contractor role. - Fully remote with flexible scheduling. - Compensation of $50/hr. - Typical commitment of 10–20 hours per week. - Weekly payments via Stripe or Wise. - Projects may be extended, shortened, or concluded early depending on project needs and performance. - Work will not involve access to confidential or proprietary information from any employer, client, or institution. - Please note: We are unable to support H1-B or STEM OPT candidates at this time. - Location requirements: United Kingdom, United States, or Singapore.

Role Description We are sharing a specialised part-time consulting opportunity for Lithuanian language experts with strong transcription, evaluation, and analytical writing skills. This role supports collaborations with a leading AI research laboratory working to improve advanced language models through audio transcription, annotation, benchmarking, and evaluation workflows in Lithuanian. Selected professionals will help transcribe and analyse audio and video content, develop evaluation rubrics, assess model outputs, and contribute to improving the overall quality and reliability of multilingual AI systems. Key Responsibilities - Audio Transcription & Content Analysis: - Listen to, analyse, and transcribe audio and video content in Lithuanian following detailed constraints and instructions. - Produce high-quality written outputs in Lithuanian, with supporting work in English when required. - Ensure clarity, accuracy, and strict adherence to formatting and stylistic guidelines. - Capture nuances such as tone, intent, formal versus informal register, and regional variations where relevant. - Evaluation Standards & Documentation: - Establish clear expectations for correct and high-quality responses in general consumer audio contexts. - Develop detailed evaluation rubrics and grading guidelines in Lithuanian and English. - Document standards to ensure consistency across reviewers and model evaluations. - Identify linguistic nuances, grammatical complexities, and edge cases specific to Lithuanian. - Model Testing & Grading: - Run prompts through language models and assess generated outputs. - Evaluate responses against predefined criteria for accuracy, completeness, fluency, and instructional clarity. - Provide structured feedback to improve model performance in Lithuanian audio tasks. - Benchmarking & Quality Assurance: - Participate in quality assurance and review cycles to ensure tasks, rubrics, and outputs meet project standards. - Maintain consistency and reliability before datasets are integrated into official benchmarks. - Collaborate with project leads to resolve ambiguities and improve task design. Qualifications - Native or near-native fluency in Lithuanian, both spoken and written, and professional fluency in English. - Strong writing, editing, and critical thinking skills. - Ability to accurately transcribe and analyse Lithuanian audio content across general consumer contexts. - Ability to work independently, manage time effectively, and meet deadlines. - Availability to commit 10–20 hours per week. - Strong attention to detail and ability to produce precise, well-structured written outputs. Requirements - College student or recent graduate. - Background in linguistics, humanities, social sciences, journalism, or technical disciplines. - Prior experience with transcription, annotation, localisation, evaluation, or research workflows in Lithuanian. - Familiarity with dialectal variations such as Aukštaitian or Samogitian and contemporary usage. - Interest in AI, language models, or applied research environments. Benefits - Contribute directly to a high-impact audio AI research project. - Gain hands-on exposure to real-world AI research and evaluation workflows. - Help benchmark and improve advanced multilingual language models. - Flexible remote work with clear tooling, structured guidelines, and competitive compensation. Contract Details - Independent contractor role. - Fully remote with flexible scheduling. - Compensation of $50/hr. - Typical commitment of 10–20 hours per week. - Weekly payments via Stripe or Wise. - Projects may be extended, shortened, or concluded early depending on project needs and performance. - Work will not involve access to confidential or proprietary information from any employer, client, or institution. - Please note: We are unable to support H1-B or STEM OPT candidates at this time. - Location requirements: United Kingdom, United States, or Singapore.

Role Description We are sharing a specialised part-time consulting opportunity for drug discovery scientists, medicinal chemists, pharmacologists, toxicologists, and related life sciences experts with strong expertise in therapeutic discovery, safety assessment, and translational pharmacology. This role supports collaborations with leading AI research laboratories and AI-driven life sciences partners working to improve advanced biomedical AI systems through scientific dataset review, annotation, mechanistic reasoning validation, and pharmacological interpretation. Selected professionals will help review and validate scientific datasets, evaluate mechanistic reasoning related to drug discovery and toxicology, interpret complex biological and pharmacological findings, and improve the scientific rigor of next-generation AI systems used in biomedical research. Key Responsibilities - Scientific Data Annotation - Review and annotate datasets related to drug discovery, pharmacology, and safety biology. - Interpret experimental outputs from target biology studies, biochemical assays, cellular models, and safety screens. - Analyze relationships between compound structure, potency, selectivity, exposure, and toxicity signals. - Identify mechanistic explanations behind efficacy or toxicity findings across discovery experiments. - Distinguish meaningful biological signal from experimental artifacts, assay interference, or model limitations. - Quality Review & Validation - Audit annotated scientific datasets for biological, pharmacological, and safety accuracy. - Validate structure–activity relationships, target engagement logic, and pharmacokinetic interpretations. - Evaluate AI-generated reasoning on drug mechanism, toxicity risk, and safety margins. - Ensure correct interpretation of dose-response relationships, exposure margins, and translational relevance. - Methodology & Knowledge Contribution - Contribute to annotation guidelines for drug discovery workflows, structure–activity relationships, pharmacokinetics and ADME reasoning, toxicity mechanisms, safety pharmacology, translational biology, and target validation. - Provide expertise on how discovery teams balance potency, selectivity, safety, and developability. - Advise on classification of toxicity findings, safety signals, and risk assessment frameworks. - Model Evaluation & Feedback - Review AI-generated reasoning traces involving drug mechanism of action, target biology interpretation, toxicity mechanisms and risk assessment, and pharmacokinetic and exposure modeling. - Assess whether conclusions logically follow from experimental evidence and biological context. - Provide structured feedback to improve scientific rigor, causal reasoning, and translational relevance in model outputs. - Documentation & Training Support - Contribute to scientific standards documentation and training materials for model development. - Help define gold-standard examples of drug discovery reasoning and toxicity interpretation. - Support calibration workflows spanning pharmacology, toxicology, and translational biology domains. Qualifications - PhD, PharmD, DVM, MD, or MS with significant industry experience in Medicinal Chemistry, Pharmacology, Toxicology, Chemical Biology, Molecular Biology, Pharmaceutical Sciences, Biochemistry, or related life sciences fields. - 3–5+ years of hands-on experience in drug discovery or safety assessment. - Experience supporting drug discovery programs from target validation through lead optimization. - Strong experience with structure–activity relationship analysis, pharmacokinetics, ADME interpretation, toxicology, and safety pharmacology studies. - Ability to interpret in vitro and in vivo experimental data with strong scientific accuracy and mechanistic reasoning. - Strong expertise in target biology, mechanism-of-action reasoning, dose-response relationships, exposure margins, and translational interpretation between preclinical and clinical findings. - Experience reviewing primary experimental data and study reports, not only summarized conclusions. - Exceptional attention to detail and scientific rigor. Preferred Qualifications - Experience in pharmaceutical or biotechnology drug discovery teams. - Background in lead optimization, translational biology, or nonclinical safety. - Familiarity with DMPK workflows, safety biomarkers, and regulatory toxicology considerations. - Experience contributing to cross-functional discovery teams. - Exposure to AI or machine learning tools applied to biomedical research. Why This Opportunity - Contribute directly to cutting-edge AI research in drug discovery, toxicology, and translational pharmacology. - Help improve how advanced AI systems reason about therapeutic mechanisms, safety biology, and pharmacological tradeoffs. - Collaborate with researchers building next-generation biomedical AI models. - Flexible remote work with competitive compensation. Contract Details - Independent contractor role. - Fully remote with flexible scheduling. - Compensation range of $70–$100 per hour. - Weekly payments via Stripe or Wise. - Projects may be extended, shortened, or concluded early depending on project needs and performance. - Work will not involve access to confidential or proprietary information from any employer, client, or institution. - Please note: We are unable to support H1-B or STEM OPT candidates at this time. About the Platform This opportunity is available through a leading AI-driven work platform that connects domain experts with frontier AI research projects. Experts contribute to improving advanced AI systems by providing specialised expertise in biomedical reasoning, scientific annotation, pharmacological interpretation, toxicology review, and translational life sciences evaluation. 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