Quick facts
- Type
- Part-time
- Location
- Remote
- Hours
- 40+ hours / week
- Background
- PhD
- Platform
- Turing — 221 open jobs
- Typical pay at Turing
- $15–25/hour · median $15 (18 jobs on our site)
- Payout
- Bank transfer, Deel (monthly)
- Apply
- Free to apply — never pay to get AI training work
Design and evaluate strategic policy frameworks and benchmarks for impact.
About Turing
Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.
Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.
Role Overview
We are seeking an experienced Subject Matter Expert (SME) across Management Consulting, Public Policy, or Political Analysis to design, evaluate, and calibrate high-fidelity strategic problem sets, policy briefs, and gold-standard evaluation benchmarks.
This single role accommodates specialized contributors across two primary disciplines: Management Consulting & Corporate Strategy and Political Science & Public Policy Analysis. Candidates will be placed in either an Expert Contributor (mid-level) or Senior Specialist / Reviewer (senior-level) track based on domain depth, years of experience, and prior experience conducting peer calibration and quality reviews.
Requirements
Experience: 3–15+ years of demonstrable professional experience in top-tier management consulting firms, corporate strategy pods, policy think tanks, government affairs units, or multilateral institutions.
Methodological Rigor: Deep command of qualitative and quantitative synthesis, structured analytical thinking, policy impact modeling, and scenario evaluation.
Education & Credentials: Advanced degree (Master’s/Ph.D.) in Business Administration (MBA), Public Policy (MPP/MPA), International Relations, Political Science, Economics, or a related discipline is preferred.
Analytical Precision: Meticulous attention to detail with an ability to identify logical flaws, biased inferences, ungrounded strategic assumptions, or misinterpretations of policy mechanisms.
Communication: Exceptional written communication and documentation skills, with proven capability in writing concise executive briefs, whitepapers, and objective rubric evaluations.
Responsibilities
Benchmark Task Authoring: Design realistic, complex workplace scenarios—such as market entry frameworks, operational turnaround proposals, geopolitical impact assessments, regulatory analysis memos, and statutory risk models—complete with gold-standard solution sets.
Rubric Adherence & Scoring: Apply evaluation rubrics defined by the Functional SME Lead to rigorously audit, score, and critique qualitative frameworks, logical structuring, and data-backed recommendations.
Review & Quality Calibration (Senior Level): Audit, review, and calibrate submissions from pod members to enforce high quality, resolve strategic or policy edge cases, and escalate rubric ambiguities with actionable recommendations.
Iterative Refinement: Incorporate structured calibration feedback and peer critiques across sprint cycles to continuously maintain high technical and analytical accuracy.
Education & Experience
- Bachelor's degree or equivalent practical experience in any field.
- Experience in AI evaluation, data annotation, content review, quality assurance, or a related analytical role is preferred but not required.
Offer Details:
- Commitments Required: at least 4 hours per day and upto 40 hours per week with 4 hours of overlap with PST.
- Engagement type: Contractor
- Engagement Length: 12 weeks
Evaluation Process -
- Applicants needs to submit Job Interest Form & complete the assessment.
- Final selected candidates will be contacted with the next steps and onboarding requirements.
Skills: Risk Management
Turing started as a marketplace for remote software engineers and now focuses on training and evaluating AI models for frontier labs. Most listings are for developers who write, review and debug code used to improve LLM coding ability.