{"id":2728206,"url":"https://alion.io/job/prime-intellect-research-engineer-pretraining-data","title":"Research Engineer - Pretraining Data","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":30,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":98,"computed_at":"2026-10-16T05:45:00Z"}},"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":"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},{"name":"Ray","optional":true},{"name":"Spark","optional":true},{"name":"Tokenization","optional":true}],"status":"live","first_seen_at":"2026-10-16T14:44:40Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-17T01:14:20Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"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 data behind Prime Intellect’s next generation of open models. You’ll find valuable sources, turn them into training-ready corpora, and work with researchers to test what actually improves the model. Your work will shape both broad pretraining and the data used to develop reasoning, coding, and long-context capabilities.\nResponsibilities\nFind, evaluate, and collect valuable training data from web, code, and technical sources.\n\nBuild scalable pipelines that turn raw data into training-ready corpora through extraction, cleaning, deduplication, and filtering.\n\nDevelop checks for data quality, coverage, and contamination, and use them to improve collection and processing.\n\nWork with researchers on data mixtures and sampling strategies for pretraining and midtraining.\n\nPrepare and evaluate data for long-context learning, reasoning, and coding, testing synthetic data where it proves useful.\n\nRun controlled data experiments and use model evaluations to decide which sources, mixtures, and processing choices are worth scaling.\n\nMake large-scale data processing efficient, reproducible, and recoverable, with clear source provenance and dataset versioning.\n\nRequirements\nStrong programming skills in Python and a record of building reliable data-processing or distributed systems.\n\nExperience working with large datasets and managing the practical tradeoffs of storage, compute, throughput, and reproducibility.\n\nAbility to diagnose data-quality issues and translate research goals into measurable checks and experiments.\n\nComfort owning an evolving technical problem end to end and working closely with researchers to test assumptions and improve the system.\n\nRelevant experience may include:\nWeb crawling, document extraction, code-data collection, or large-scale corpus curation.\n\nDeduplication, text classification, quality scoring, synthetic data, or training-data contamination analysis.\n\nData-mixture experiments, curriculum learning, or measuring how dataset changes affect model performance.\n\nNice to have\nExperience preparing datasets for language-model pretraining, continued pretraining, or midtraining.\n\nWork with distributed processing frameworks such as Spark, Ray, or comparable systems.\n\nExperience with multilingual, mathematical, scientific, or repository-level code data.\n\nFamiliarity with tokenization, training data loaders, and the needs of large model-training runs.\n\nDepth in data acquisition, scalable processing, or data research can be a strong starting point. We don’t expect every candidate to have worked across all of them.\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":4900,"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":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":98,"reasons":["conf:1","win:early"],"computed_at":"2026-10-17T03:07:58Z"},"pay":{"stated_usd_annual":350000,"is_top_pay":true},"html_url":"https://alion.io/job/prime-intellect-research-engineer-pretraining-data","json_url":"https://alion.io/job/prime-intellect-research-engineer-pretraining-data.json","meta":{"generated_at":"2026-10-17T03:07:58Z","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":4165,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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-pretraining-data"},{"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-pretraining-data"},{"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-pretraining-data"},{"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-pretraining-data\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fprime-intellect-research-engineer-pretraining-data"}]}