{"id":2728207,"url":"https://alion.io/job/prime-intellect-research-engineer-data-and-evaluation","title":"Research Engineer - Data and Evaluation","company":{"id":5907,"name":"Prime Intellect","domain":"primeintellect.com","url":"https://alion.io/company/primeintellect","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":95,"open_postings":34,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":98,"computed_at":"2026-10-19T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":350000,"currency":"USD","period":"year","gross":null,"usd_annual":350000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Cloudflare","optional":false},{"name":"Databricks","optional":false},{"name":"Datadog","optional":false},{"name":"Function Calling","optional":false},{"name":"LangChain","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenRouter","optional":false},{"name":"Perplexity","optional":false},{"name":"Post-training","optional":false},{"name":"Python","optional":false},{"name":"SFT","optional":false},{"name":"Synthetic Data","optional":false},{"name":"Together AI","optional":false},{"name":"Tool Use","optional":false},{"name":"Zapier","optional":false}],"status":"live","first_seen_at":"2026-10-16T14:44:39Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-19T10:38:13Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":2},"description":"Own Your Intelligence\nPrime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team.\nOur platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale - from SFT and RL to tool use, agent workflows, and continuously improving production models. We are building open frontier AI: open-source models trained end to end for long-horizon tasks like autonomous research, and the full-stack platform our own research team uses to build them. The next generation of AI companies, enterprises, and research teams do not just need more GPUs. They need the ability to turn their own workflows, tools, data, and feedback loops into superintelligence they own.\nPrime Intellect has raised $150M in total funding from Founders Fund, Radical Ventures, NVIDIA, and exceptional AI, infrastructure, and enterprise operators, including Andrej Karpathy, Dwarkesh Patel, and leaders and founders from Ramp, Perplexity, Harvey, Mercor, Zapier, Datadog, Cognition, OpenAI, Thinking Machines, Together AI, SemiAnalysis, LangChain, Browserbase, Cloudflare, Sierra, Databricks, Airbnb, OpenRouter, Standard Intelligence, Fleet, Core Auto, and more. We are looking for people who want to build at the intersection of frontier research, real infrastructure, and go-to-market for a category that does not fully exist yet.\nRole Impact\nBuild the tasks and environments that train Prime Intellect’s models through RL, and the evaluations that show what they can actually do. You’ll work directly with researchers to investigate model failures, from how a task is implemented to how success is scored.\nResponsibilities\nDesign and build challenging evaluations for coding and long-horizon agents.\n\nBuild executable environments in Verifiers, with realistic task setup and clear success criteria.\n\nDevelop and test scoring logic and verifiers, investigating reward hacks and misleading measures of progress.\n\nTrace failures through model outputs and harness code to distinguish model limitations from problems in the environment or scoring.\n\nBuild and scale RL data pipelines that generate and curate challenging coding and agentic tasks.\n\nWork with RL researchers to test whether changes to tasks and training data improve performance on held-out tasks.\n\nRequirements\nStrong software engineering skills in Python and experience building data pipelines, evaluation systems, or ML workflows used by others.\n\nHands-on experience working with language models or agents, with an understanding of how training data and evaluation choices affect model behavior.\n\nAbility to inspect complex data and model outputs, identify failure modes, and turn an ambiguous quality question into a testable measurement.\n\nA record of owning technical projects through experimentation, implementation, and validation, while collaborating closely with researchers and engineers.\n\nHands-on experience building technical evaluations or agent environments, with the engineering depth to inspect model traces and debug harness and scoring code.\n\nRelevant experience may include:\nLarge-scale synthetic data generation, dataset curation, or distributed processing for model training.\n\nEvaluation methodology, executable coding tasks, agent environments, verifiers, or reward design.\n\nExperiment analysis, statistical testing, contamination detection, and reproducible research tooling.\n\nNice to have\nExperience with RL or post-training data, including task difficulty selection and analysis of rollout or reward distributions.\n\nContributions to Verifiers, Prime-RL, or comparable environment and evaluation frameworks.\n\nWork on model-based grading, long-horizon coding agents, or diagnosing reward exploitation.\n\nWe welcome depth in data generation, environments and rewards, or evaluation systems. You don’t need to have worked across every area.\nBenefits and Perks\nCash Compensation Range of $150-350k, including equity incentives, aligning your success with the growth and impact of Prime Intellect.\n\nFlexible work arrangements, with the option to work remotely or in-person at our offices in San Francisco.\n\nVisa sponsorship and relocation assistance for international candidates.\n\nQuarterly team off-sites, hackathons, conferences and learning opportunities.\n\nOpportunity to work with a talented, hard-working and mission-driven team, united by a shared passion for leveraging technology to accelerate science and AI.\n\nIf you're excited about the opportunity to build the foundation for the future of decentralized AI and create a platform that empowers developers and researchers to push the boundaries of what's possible, we'd love to hear from you.","description_format":"text","description_chars":4808,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible schedule","Relocation assistance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Reinforcement Learning","Foundation Models","AI Compute & Inference","AI Development Tools"],"lifecycle":[{"event":"open","at":"2026-10-16T17:05:24Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":98,"reasons":["conf:3","velocity","win:early"],"computed_at":"2026-10-19T05:45:15Z"},"pay":{"stated_usd_annual":350000,"is_top_pay":true},"html_url":"https://alion.io/job/prime-intellect-research-engineer-data-and-evaluation","json_url":"https://alion.io/job/prime-intellect-research-engineer-data-and-evaluation.json","meta":{"generated_at":"2026-10-19T12:40:23Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":8735,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-20T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":5907},"rest":"https://alion.io/mcp/rest/get_company?id=5907"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fprime-intellect-research-engineer-data-and-evaluation"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fprime-intellect-research-engineer-data-and-evaluation"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fprime-intellect-research-engineer-data-and-evaluation"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/prime-intellect-research-engineer-data-and-evaluation\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fprime-intellect-research-engineer-data-and-evaluation"}]}