Posted Aug 30, 2026

Research Scientist, Human Data & Evaluation

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Job Description: • Translate ambiguous client questions into clear research questions, hypotheses, and study designs • Develop research proposals and methodologies from scratch • Identify new research directions and help define what Contra Labs should measure, study, and build • Design human-data collection strategies, evaluation protocols, rubrics, annotation schemes, and experiments • Develop prompt strategies for eliciting, evaluating, and comparing model behavior • Determine sampling, evaluator selection, calibration, quality-control, and reliability methods • Design methodologies across creative and multimodal domains including design, image, video, and agentic workflows • Analyze qualitative and quantitative evaluation data • Explain why patterns occur and their implications • Synthesize findings into recommendations, research narratives, and hypotheses • Produce client-ready reports, presentations, benchmarks, and research publications • Independently own research engagements from initial scoping through final delivery • Collaborate with project leads, creative experts, research engineers, and data/engineering teams • Maintain research rigor and data quality on fast client timelines • Support multiple concurrent projects at different stages • Participate in client scoping and proposal development • Collaborate with Strategic Project Leads on client delivery Requirements: • Based in San Francisco, California • 3–5+ years of relevant research experience • Master’s, PhD, or equivalent industry research depth in HCI, Human-Centered AI, ML, design research, or a related field • Strong qualitative and quantitative research skills • Experience in human evaluation, experimentation, data collection, UX/HCI, annotation, or model behavior research • Ability to independently design and execute rigorous research • Ability to decide what data to collect, why, and how to analyze it • Ability to turn data and observations into insights, research directions, and actionable recommendations • Comfortable analyzing data with Python and/or SQL • Strong written communication and ability to explain methodological tradeoffs and research decisions • Comfortable operating independently through ambiguity and balancing research rigor with startup speed and pragmatism • Familiarity with modern ML and generative AI systems • Understanding of RLHF, post-training, preference data, and model evaluation • Experience studying image, video, multimodal, creative, or agentic systems • Experience designing prompts or systematically studying prompting/model behavior • Experience with large-scale human-data or annotation programs • Experience working directly with AI research or model teams • Strong publication record or evidence of generating original research ideas • Startup / 0-to-1 experience Benefits: • Medical, Dental, Vision Benefits • 401k Matching • Company laptop provided on start date • Equity