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 Location: Remote 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. Ensure all expressions render correctly and match the source.
• Extract and label relevant context. Record correct PDF viewer page numbers for problem statements, definitions, hints, solution steps, and short answers.
• Revise raw textbook content into a clean QA format. Address demonstrative originals or those referencing missing equations/figures.
• Assess solution quality for correctness, completeness, and logical consistency. Flag gaps, incorrect steps, or mismatches with the stated answer.

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. ,