{"id":3290562,"url":"https://alion.io/job/mercor-data-science-specialist-fully-remote-upto-170hr","title":"Data Science Specialist - Fully Remote | Upto $170/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":85,"open_postings":15,"ghost_share":0,"stale_share":0.4,"repost_share":0,"time_to_fill_p50_days":65,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-10T19:30:14Z","employer_posted_date":null,"last_verified_at":"2026-10-10T19:30:14Z","board_verified":false,"closed_at":null,"days_open":22,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":22},"description":"About the jobMercor 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: Data Science Expert\nType:Contract\nCompensation:$120–$170/hour\nLocation:Remote\nRole Responsibilities\nDesign precise, task-specific grading criteria for real-world data science deliverables such as analyses, models, dashboards, and experiment readouts.\n\nScore AI-generated and human work samples against criteria with detailed written justifications for every score.\n\nApply consistent, evidence-based judgment to ensure scores are reproducible and defensible.\n\nIncorporate structured feedback from senior reviewers and iterate quickly on your work.\n\nWork independently and asynchronously to meet deadlines while improving AI model performance.\n\nQualifications\nMust-Have\n\n5+ years of professional data science experience in industry.\n\nBackground in business operations, product, or growth data science at top-tier technology companies.\n\nDeep fluency in experiment design and A/B testing, metric definition, SQL/Python analysis, and communicating findings to executive stakeholders.\n\nExceptionally strong written communication.\n\nDetail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers.\n\nPreferredPrior experience with AI training, evaluation, or human-data projects.\nApplication Process (Takes 20–30 mins to complete)\nSubmit your resume or relevant technical background to get started.\n\nQualified applicants may be asked to complete a brief technical assessment or submit additional information.\n\nResources & Support\nFor details about the interview process and platform information, please check: \n\nFor any help or support, reach out to: \n\nPS: Our team reviews applications daily. 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