Top Tech Jobs & Startup Jobs

Review, assess, and provide structured feedback on brand and creative marketing documents. Evaluate content for quality, accuracy, relevance, and adherence to guidelines while applying strong analytical, written communication, document review, and attention-to-detail skills.

Review and assess domain-specific documents, provide structured feedback, and evaluate quality, accuracy, and relevance. The role requires strong analytical, written communication, document review, and attention-to-detail skills, along with proficiency in Excel, PowerPoint, and Word. Candidates must have a bachelor’s degree, at least two years of relevant professional experience, and be based in the United States, Europe, the UK, or Canada.

Expert reviewers will evaluate UK-law answers generated by two AI platforms. They will run identical prompts, compare outputs, score responses using a standardized rubric, and provide concise written feedback. The role requires at least two years of primarily law-firm experience in corporate, M&A, or transactional practice, UK qualification to practise, strong UK corporate and commercial law knowledge, fluent English, independence, and deadline management. The initial commitment is approximately 10 hours, with potential for additional work under an NDA.

Builds a network of experienced management consultants for potential future AI evaluation projects. Responsibilities may include creating grading criteria for consulting deliverables, evaluating AI-generated or human-created work, providing evidence-based written feedback, and calibrating judgments with senior reviewers. Candidates should have management consulting experience and strong skills in structured problem-solving, market sizing, financial modeling, business-case development, and executive presentations.

Build and evaluate advanced Excel finance tasks for AI training data. Responsibilities include creating financial models and analyses, designing realistic finance scenarios, writing solutions, reviewing task accuracy, providing feedback, and collaborating with subject matter experts. The role requires advanced Excel skills, including formulas, PivotTables, dashboards, Power Query, Power Pivot, macros, and VBA, plus professional finance experience in areas such as private equity, investment banking, hedge funds, equity research, accounting, or FP&A.

Evaluate insurance and actuarial AI tasks and model outputs for professional accuracy. Create instruction specifications, golden solutions, benchmarks, and domain-specific evaluation datasets. Apply specialized insurance judgment to identify flawed assumptions, policy-language errors, and weak reasoning. Collaborate with AI researchers and adjacent specialists to calibrate evaluation standards and translate expert knowledge into explicit criteria. Requires a senior-level insurance background, actuarial credential or active insurance license, AI fluency, strong writing, and six-month full-time availability.

Evaluate and improve clinical AI systems through grading-criteria development, dialogue evaluation, clinical reasoning annotation, output review, guideline authoring, and difficult-case writing. The role requires physicians to assess accuracy, safety, completeness, clinical reasoning, and escalation guidance without providing direct patient care. Work is assigned across shared clinical AI workstreams and requires at least 20 hours weekly.

Author point-in-time political reports and election forecasts, assess polling and market-implied probabilities, explain causal political and market impacts, and evaluate AI-generated analyses. Requires substantial live forecasting experience, strong polling literacy, probabilistic judgment, and disciplined analysis without hindsight or confidential information.

Forecast the timing and content of named sell-side equity analysts’ post-catalyst research publications. The role requires analyzing filings, earnings, transcripts, estimates, valuation, and ratings; documenting equity research workflows; and grading AI-generated analyses against expert standards using strict point-in-time reasoning without hindsight or confidential information.

Evaluate AI systems on personalized, real-world life tasks. Use extensive LLM experience to assess whether outputs are useful, realistic, safe, complete, and tailored to context, preferences, constraints, and tradeoffs. Provide detailed written judgments across areas such as food, health, productivity, careers, and learning, contributing to improvements in AI assistants and personal workflows. Expected commitment is 20–40 hours per week.