{"id":4277330,"url":"https://alion.io/job/clera-llm-data-researcher","title":"LLM Data Researcher","company":{"id":2706,"name":"Clera","domain":"getclera.com","url":"https://alion.io/company/clera","size_band":"11-50","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":80,"open_postings":40,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-11-14T05:58:10Z"}},"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":["Barcelona, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":true,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Post-training","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reward Modeling","optional":false},{"name":"RLHF","optional":false},{"name":"SFT","optional":false}],"status":"live","first_seen_at":"2026-11-13T17:02:16Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-14T19:35:39Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About the Role\nJoin an early-stage research team at a European AI data company and investigate whether expert-generated data improves language model performance. You will conduct hands-on research, build evaluation infrastructure, and help determine which research and data initiatives to pursue.\nWhat You'll Do\nPost-train language models on expert datasets and measure their impact, investigating when results fall short.\n\nDesign and run evaluations of frontier language models in expert domains.\n\nSelect and execute suitable training methods, including supervised fine-tuning, reinforcement learning, and preference tuning.\n\nTranslate research findings into dataset specifications and recommendations for future work.\n\nPublish research papers, benchmarks, and written research updates.\n\nCoordinate research findings with data, client, partnership, and marketing teams.\n\nWhat We're Looking For\nHands-on research experience with reinforcement learning environments for language models or RL-based post-training, such as RLHF, RLVR, reward modeling, or preference optimization.\n\nA completed or nearly completed PhD in machine learning or NLP, or an equivalent research record demonstrated through publications or AI lab and industry research work.\n\nExperience personally post-training and evaluating language models end to end, and building evaluations or benchmarks.\n\nResearch publications at leading machine learning or NLP venues, or experience building evaluation tools.\n\nEarly-career research profile, from near PhD completion to a few years post-PhD.\n\nCompensation & Benefits\nCompetitive salary and equity. Relocation support is available. Visa sponsorship details were not provided.\nLocation\nFull-time, on-site in Barcelona, Catalonia, Spain. 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