{"id":3459226,"url":"https://alion.io/job/mercor-data-engineering-specialist-fully-remote-up-to-180hr","title":"Data Engineering Specialist - Fully Remote | Up to $180/hr","company":{"id":4960,"name":"Mercor","domain":"mercor.com","url":"https://alion.io/company/mercor","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":88,"open_postings":15,"ghost_share":0,"stale_share":0.267,"repost_share":0,"time_to_fill_p50_days":76,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"part_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":129000,"max_usd":239000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":108},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-29T13:17:26Z","employer_posted_date":null,"last_verified_at":"2026-10-29T13:17:26Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"About the job\nMercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.\nPosition: Senior Data Scientist and Data Engineering Experts\nType:\nContract\nCompensation:\n$120-$180/hour\nLocation:\nRemote\nRole Responsibilities\nDesign realistic, challenging data science and data engineering tasks, including exploratory analyses, statistical modeling, machine learning pipelines, ETL, and data pipeline design.\nIllustrate \"what good looks like\" by writing precise, task-specific criteria for data science and data engineering deliverables.\nApply consistent, evidence-based judgment to ensure assessments are reproducible and defensible.\nTake structured feedback from senior reviewers and iterate on submitted work.\nTrain and evaluate frontier AI models using expertise from top technology, quantitative, or financial firms.\nWork independently and asynchronously to improve AI model performance.\nQualifications\nMust-Have\n4+ years of professional data science, data engineering, or machine learning experience.\n\nStrong command of Python, SQL, statistical modeling, machine learning, experimentation, and causal inference.\nProven ability to turn messy real-world data into rigorous analyses and reliable pipelines.\nExcellent written English, including the ability to explain technical findings clearly.\nBachelor's degree from an English-speaking country.\n\nDetail-oriented, consistent approach to evaluating complex work.\nApplication Process (Takes 20-30 mins to complete)\nUpload resume\nAI interview based on your resume\nSubmit form\nResources & Support\nFor details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome\nFor any help or support, reach out to: \nPS: Our team reviews applications daily. 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