STEM Textbook QA Specialist

About the job Mercor 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 . Position: Mathematics & STEM Textbook QA Specialist (OCR + LaTeX) Type: Contract Compensation: $25–$40/hour Duration: 2–3 weeks Commitment: 15–40 hours/week Role Responsibilities Validate math/STEM question–answer pairs extracted from textbook PDFs. Identify errors introduced by OCR or extraction. Compare extracted text to the source PDF. Correct transcription issues like symbols, subscripts/superscripts, and missing terms. Fix and standardize LaTeX formatting to ensure expressions render correctly and match the source. Extract and label relevant context such as problem statements, definitions, hints, solution steps, and short answers. Record correct PDF viewer page numbers. Revise raw textbook content into a clean QA format. Address demonstrative originals or missing equations/figures. Assess solution quality for correctness, completeness, and logical consistency. Flag gaps, incorrect steps, or mismatches with stated answers. Qualifications Must-Have Strong proficiency with LaTeX math formatting . Background in Mathematics, Physics, Engineering, or related STEM ( BA/BS/Masters/PhD or equivalent rigor). Comfort reading and verifying multi-step mathematical reasoning . Excellent attention to detail and ability to follow a structured workflow exactly. Strong written communication for clear, concise technical notes. Preferred Proof-based coursework (e.g., real analysis, abstract algebra, proof-based linear algebra). Experience as a TA/grader , tutor, contest solution writer, or math editor. Familiarity with common OCR failure modes in STEM text. Ability to handle advanced undergraduate/occasional graduate-level material. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form Resources & Support For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.