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About Micro1: Job Title: AAA Gameplay Data Capture SpecialistJob Type: Contract {Pay Per Task Model}Location: RemoteJob Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.Key ResponsibilitiesPlay a range of top-tier AAA games to systematically capture gameplay data using in-house tools.Record, organize, and annotate game sessions with keen attention to accuracy and detail.Collaborate closely with fellow experts and team leads, providing clear feedback and updates.Troubleshoot and resolve technical issues related to recording and data capture workflows.Ensure all data files are securely stored, cataloged, and transferred according to project guidelines.Maintain regular, timely communication in both written and verbal formats with the customer's remote team.Meet project deadlines, maintaining flexibility to adapt to evolving requirements.Required Skills and QualificationsProven passion and experience with AAA games, with access to the specific titles required for the project.Strong gameplay proficiency and ability to follow capture instructions precisely.Excellent verbal and written communication—clear, prompt, and detail-oriented.Well-equipped computer capable of running and recording high-end AAA games without performance issues.Experience using gameplay recording or data capture tools (industry or proprietary experience is a plus).Self-motivated, disciplined, and reliable in a remote work environment.Strong problem-solving skills and adaptability in fast-paced or changing scenarios.Mandatory Requirement: You must own a high-end gaming PC that can run the latest AAA games at high resolutions smoothly.Preferred QualificationsPrevious experience in gameplay QA, playtesting, or data capture roles.Familiarity with video editing or data annotation tools.Experience working with geographically distributed teams.We are onboarding five experts early next week (Mon-Tue)—join a select group driving the next generation of gaming insights!

About Turing: About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&LRole Overview: We’re looking for a ML Developer to drive the design, development, and delivery of advanced machine learning solutions. The ideal candidate is not just a strong individual contributor but also a technical leader capable of setting direction, mentoring team members, and ensuring that ML initiatives align with business goals. Competitive ML experience (e.g., Kaggle, benchmarks) is a strong plus.What does day-to-day look like: Own end-to-end DS/ML solution development — from data pipelines and model design to deployment and monitoring. Translate business objectives into robust ML architectures that accurately capture business logic and context. Collaborate cross-functionally with Product, Engineering, and Business stakeholders to define problem statements and success metrics. Evaluate and optimize models for performance, scalability, and accuracy using state-of-the-art techniques. Stay current with advancements in AI/ML research and apply relevant innovations to improve outcomesRequired Qualifications: Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, Statistics, or a related quantitative field. 4+ years of hands-on DS/ML development experience, Proficiency in key DS/ML areas and frameworks:Supervised and Unsupervised Learning Time-Series Forecasting Natural Language Processing (NLP) Computer Vision (CV) Statistical Modeling and Inference Expertise in Python and core libraries (Pandas, NumPy, Scikit-learn, etc.). Ability to understand and apply different models to real-world use cases Strong understanding of data preprocessing, feature engineering, model tuning, and evaluation metrics. Proven ability to design scalable, production-grade ML systems.Preferred Qualifications: Proven expertise in Deep learning (e.g., convolutional neural networks, recurrent neural networks, transformers). Experience with cloud data platforms (Databricks, AWS, etc.) Hands-on experience with PySpark and Databricks Platform Stay up-to-date with the latest advancements in machine learning and artificial intelligence.Bonus: Experience and knowledge in Kaggle competitions and Benchmarks, such as MLEBench Experimenting with new technologies and frameworks based on Research papers published in top conferences and journalsPerks of Freelancing With Turing: Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.Offer Details: Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type  : Contractor assignment (no medical/paid leave) Duration of contract : 3 month; [expected start date is next week] Location : India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, MexicoEvaluation Process (approximately 75 mins) : Two rounds of interviews as follows:Interview 1: Technical, 60 mins Interview 2: Onboarding & cultural discussion, 15 mins

About Turing: Role OverviewWe are looking for Finance Experts with strong domain knowledge and analytical skills to collaborate with our researchers in improving the performance of AI models. This is a unique opportunity to apply your finance expertise across areas such as corporate finance, investment banking, accounting, FP&A, private equity, and consulting, while contributing to the advancement of AI systems. No prior AI experience is required.What You'll Do Day-to-Day Evaluate model outputs in finance-related tasks and identify gaps where models do not perform well. Develop rubrics and structured assessments for specialized areas (e.g., deal analysis, M&A assessments, investment scenarios). Collaborate with AI researchers and fellow finance experts to design training methods, evaluation strategies, and benchmarks.Requirements Experience: 2+ years in investment banking, private equity, venture capital, FP&A, accounting, or financial consulting. Qualifications: CFA (Level I/II/III) cleared, or CA/CPA/MBA in Finance preferred. Candidates with relevant on-job experience and training will also be considered. Strong understanding of financial concepts (corporate finance, investment analysis, asset management, risk management, etc.) within your domain of expertise. Excellent written and verbal communication in English.Perks of Freelancing with Turing Work on the cutting edge of AI and finance. Fully remote, flexible work environment. Competitive hourly compensation. Gain exposure to advanced AI systems and insight into how they’re trained.Offer Details Commitment: Flexible, 10–30 hours per week. Duration: ~1 month, with potential extension based on performance and project needs. Employment Type: Contract (freelance; no medical/paid leave). Location: India.About TuringBased in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

About Turing: About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.Role Overview:As an AI Quality Analyst, you will evaluate a new personalization feature for Gemini. You will assess how well the model uses information from your past Gemini conversations, Gmail, Google Search, and YouTube activity to make responses more relevant and helpful. This role requires a unique blend of creativity and analytical rigor. You will actively design prompts from the perspective of your own personal experiences. You will then use your analytical skills to assess the quality of the model's personalized responses, evaluating dimensions like Grounding, Integration, and Helpfulness.Key Qualifications Japanese Proficiency: Ability to read and write in Japanese with a high degree of comp, as Japanese is the focus language for this project. Personal Account Usage: Willingness to use your primary personal Google account (not a testing account) and enable personal data sources for a genuine assessment. Schedule Flexibility: Full-time availability in your local time zone is required.  We are staffing a global, 24-hour operations team. Exceptional Analytical Thinking: Demonstrate ability to evaluate nuanced and ambiguous AI responses, specifically assessing personalization quality. Creative Prompt Engineering: Experience in designing creative, multi-turn starting prompts based on personal context to thoroughly test the model's capabilities. Strong Evaluation Acumen: Understanding of personalization concepts, including the ability to identify incorrect personalization, poor inferences, and forced connections. Meticulous Attention to Detail: The ability to review Side-by-Side (SxS) model responses and spot subtle differences in naturalness and overnarrating. Excellent Written Communication: Superior ability to write clear, concise, and structured rationales for model rankings, explicitly referencing specific turn numbers. Feedback: Ability to provide constructive feedback and detailed annotations. Communication: Excellent communication and collaboration skills. Independence: Self-motivated and able to work independently in a remote setting. Technical Setup: Desktop/Laptop set up with a good internet connection.Description: In this role, you will be part of a dynamic team focused on evaluating the quality of personalized AI interactions. Your day-to-day work will involve: Designing and executing multi-turn conversational prompts (typically 1-5 turns) that require the AI to utilize your personal information and experiences. Evaluating model responses based on your intent from the starting prompt, checking if the personalization was appropriately applied. Analyzing responses for Grounding issues, ensuring claims about you are supported by evidence and not flawed inferences or hallucinations. Assessing Integration quality to ensure personal data is woven naturally into the response without robotic "overnarrating". Rigorously evaluating and stack-ranking two model responses side-by-side (SxS) to determine which is overall more helpful, easy to use, and enjoyable. Writing clear, defensible rationales for your comparisons, explicitly referencing where issues or positive aspects occurred in the conversation. Extracting and verifying "Debug Info" from the model to confirm that chat summaries and data sources were properly utilized. Maintaining strict data hygiene by deleting evaluation conversations to prevent them from polluting your future chat history.Education & Experience BS/BA degree or equivalent experience in a relevant field (e.g., Policy, Law, Ethics, Linguistics, Journalism, Computer Science, or a related analytical field). Experience in data annotation, AI quality evaluation, content moderation, or a related role is strongly preferred.Offer Details: Commitments Required: at least 4 hours per day and up to 20 hours per week with 4 hours of overlap with PST. Engagement type: Contractor Engagement Length: 3 months Our offered rate for this project is $15 per hour.Evaluation Process - Shortlisted candidates will be sent a Job Interest Form. After the profile review, an assessment will be shared, which must be completed within 24 hours. Based on the assessment outcomes, shortlisted candidates will be contacted to discuss the pre‑onboarding requirements.

About Micro1: Job DescriptionJob Title: Member of Technical Staff, Frontier AIJob Type: Full timeLocation: RemoteAbout Us:micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity.The RoleWe’re hiring a Member of Technical Staff (MTS) to act as a technical owner operating at the intersection of research, data, and real-world AI systems. This is a hands-on role focused on improving model and system performance through rigorous evaluation, failure analysis, and iterative development.You’ll work closely with researchers, domain experts, and operators to ensure that experimental work produces clean, defensible research signal—and that this signal translates into meaningful improvements in deployed systems.What You’ll DoOwn research and evaluation initiatives end-to-end: problem framing, data design, quality calibration, and signal validation.Design ML-oriented data systems, including task definitions, annotation schemas, rubrics, incentives, and pipelines optimized for downstream model performance.Analyze model and system failures to identify root causes, edge cases, and opportunities for improvement.Translate ambiguous, real-world behavior into structured evaluation frameworks and new data categories.Work closely with researchers and domain experts to calibrate quality early and continuously raise the signal bar.Iterate rapidly on evaluations, datasets, and feedback loops to improve system performance.Act as a quality gate: block claims, pause work, or force scope changes when signal strength or data integrity is insufficient.Partner with cross-functional and client-facing teams to translate research progress into clear, credible narratives grounded in evidence.Identify gaps in data or evaluation coverage and recommend where to invest, iterate, or stop based on learnings and impact.What We’re Looking ForStrong judgment around research signal quality and when work is (or is not) ready to be externalized.Experience designing ML-oriented datasets, evaluation frameworks, and QA processes.Ability to translate messy, real-world system behavior into structured research and evaluation opportunities.Comfort operating in ambiguity, with a bias toward ownership and decisive action.Clear written and verbal communication, especially when explaining tradeoffs, limitations, and signal strength to technical and non-technical stakeholders.Proven ability to work directly with experts during project kickoff, calibration, and iteration.A systems-level mindset, with interest in improving end-to-end model or agent performance rather than isolated components.PreferredExperience with reinforcement learning environments, simulators, or feedback-driven training systems.Experience improving agentic systems or AI systems operating in real-world workflows.Prior work embedded in applied research or production environments with direct impact on deployed systems.Experience with evaluation design for complex or real-world tasks.Familiarity with expert incentive design and engagement in high-stakes technical projects.Compensation & Benefits NoticeThe national pay range for this full-time position is base salary of $280,000 –$350,000 USD. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.DisclaimerThe information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.