Mercor is partnering with a leading frontier AI research lab on an initiative to improve math and STEM reasoning. We're building high-quality training and evaluation data from public-domain textbooks, and we're looking for detail-oriented STEM experts to validate and repair extracted problem–solution content.
This role is ideal for people who are strong at proof-based math reading, precise transcription, and LaTeX formatting, and who enjoy meticulous quality work.
Validate math/STEM question–answer pairs extracted from textbook PDFs, identifying errors introduced by OCR or extraction.
Compare extracted text to the source PDF and correct transcription issues (symbols, subscripts/superscripts, missing terms, etc.).
Fix and standardize LaTeX formatting so all expressions render correctly and match the source.
Extract and label relevant context (problem statements, surrounding definitions, hints, solution steps, short answers) and record correct PDF viewer page numbers.
Revise raw textbook content into clean QA format when the original is demonstrative (e.g., “Show that…”) or references missing equations/figures.
Assess solution quality (correctness, completeness, logical consistency) and flag gaps, incorrect steps, or mismatches with the stated answer.
Maintain consistently high standards for precision, structure, and correctness.
Strong proficiency with LaTeX math formatting (required).
Background in Mathematics, Physics, Engineering, or related STEM (BA/BS/Masters/PhD or equivalent rigor).
Comfort reading and verifying multi-step mathematical reasoning (including proofs and textbook solutions).
Excellent attention to detail and ability to follow a structured workflow exactly.
Strong written communication for clear, concise technical notes.
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 (misread symbols, broken equations, malformed fractions, etc.).
Ability to handle advanced undergraduate / occasional graduate-level material.
Exercises and examples across math and STEM
Proof-oriented problems
Occasionally multi-part questions, with dependencies across subparts
Problems that require careful handling of figures/diagrams and referenced equations
Potential commitment: 15 hours/week minimum, up to 40 hours/week
Approximate project length: 2-3 weeks
Work is structured and quality-focused; speed matters less than correctness
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Tagged as: Chemistry, Computer Science, Data Science, Earth Science, Engineering, Environmental Science, Life Sciences, Mathematics, Physics
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