Top Tech Jobs & Startup Jobs

Remote UK/Europe-based contractors will review and evaluate AI-generated and human-created professional materials (documents, presentations, spreadsheets) for accuracy, clarity, consistency, and completeness. Provide written feedback, identify errors and omissions, rank outputs against criteria, and apply evaluation guidelines consistently across formats. Work independently with attention to detail to improve AI system performance.

Author and verify rigorous multiple-choice computer science assessment items across many CS domains to create gold-standard benchmarks for AI research. Produce correct answers, nine plausible distractors, solution explanations, difficulty labels, and authoritative references. Review and edit questions for technical accuracy, clarity, and reproducibility. Contribute asynchronously as an independent contractor, ~10+ hours/week, fully remote.

Develop realistic enterprise GTM scenarios and evaluation rubrics for Fortune 500 sales and marketing contexts. Create deal strategies, account plans, marketing and RevOps scenarios using enterprise platforms, apply established sales methodologies, produce executive-level narratives, and refine evaluation outputs through reviewer feedback.

Manage a portfolio of 40–50 clients to drive retention, renewals, upsells and measurable revenue growth. Serve as primary client contact, run onboarding/coaching/reviews, analyze funnels to identify gaps, coordinate with internal teams and subject-matter experts, monitor account health, and meet monthly growth targets.

Evaluate and compare AI/LLM-generated legal responses against a standardized rubric. Assess legal accuracy, reasoning, completeness, relevance, and commercial risk. Identify errors and differences, provide concise written feedback, and deliver consistent, objective evaluations on schedule.

Assess and compare AI/LLM-generated legal responses to French law by running identical prompts on two platforms, evaluating accuracy and reasoning against a standardized rubric, identifying material differences or errors, and providing concise, well-supported written feedback while meeting deadlines and project guidelines.

Lead AI/ML platform and operational engineering: design, deploy, monitor, and optimize large-scale AI solutions. Provide technical leadership, mentor teams, enforce governance, select tools, and enable cloud-native, containerized, and MLOps practices across the organization.

Evaluate AI-generated music for musicality, creativity, production and vocal quality, classify songs by genre/structure, identify subtle audio issues, and provide structured feedback to improve generative music systems. Must apply consistent criteria across genres and document observations in English.

Design, build, and maintain scalable, high-performance risk management systems for institutional trading. Collaborate with quantitative risk teams to develop distributed architectures, data platforms, and automation; troubleshoot production issues; improve performance and reliability; mentor engineers and drive projects from design to production.

Create realistic enterprise legal scenarios (in-house counsel, regulatory/compliance, corporate transactions, litigation), author high-quality reference responses and criterion-based evaluation rubrics, review for legal accuracy and relevance, and translate complex legal judgment into objective evaluation standards aligned with frameworks like ERM/COSO and regulations such as FCPA, SOX, GDPR, and HIPAA.