{"id":3290436,"url":"https://alion.io/job/mercor-computational-chemist-fully-remote-upto-70hr","title":"Computational Chemist - Fully Remote | Upto $70/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":"B","score":84,"open_postings":16,"ghost_share":0,"stale_share":0.438,"repost_share":0,"time_to_fill_p50_days":65,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Biotech","role_family":"Biotech","seniority":null,"employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","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":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-08-30T01:59:40Z","employer_posted_date":null,"last_verified_at":"2026-08-30T01:59:40Z","board_verified":false,"closed_at":null,"days_open":58,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":58},"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: Chemistry PhD Coding Experts\nType:Contract\nCompensation:$70/hour\nLocation:Remote\nDuration:6 weeks\nCommitment:20+ hours/week\nRole Responsibilities\nSource material from published papers, Kaggle datasets, open-source repositories, or self-designed scenarios.\n\nWrite scientific prompts based on the input to challenge current AI models.\n\nBuild grading criteria that define correct answers for scientific tasks.\n\nCalibrate tasks against frontier models, ensuring they are challenging for strong models.\n\nWork independently and asynchronously to meet deadlines while improving AI model performance.\n\nQualifications\nMust-Have\n\nPhD in chemistry, physical chemistry, theoretical chemistry, computational chemistry, or a closely related field.\n\nDemonstrated depth in both quantum chemistry and computational chemistry.\n\nWorking proficiency in Python, R, or another relevant programming language for scientific computing.\n\nComfortable with Git/GitHub and running code in Docker.\n\nPreferred\nPublications in peer-reviewed journals.\n\nPrior scientific software or research engineering experience.\n\nStart DateImmediate\nApplication Process (Takes 20–30 mins to complete)\nUpload resume and application form\n\nA 25-minute conversational interview covering your background, experience, and motivations\n\nFollow up within a few days with next steps and onboarding\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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