Live opening · Posted 1 day ago

Biochemist

Alignerr · Montreal, QC (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyAlignerr
LocationMontreal, QC (Remote)
Salary$35/hr - $70/hr
Work modeYes
SourceLinkedin
Listed1 day ago

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About the role

Description supplied by the original job listing.

Biochemist – AI Data Trainer
About The Role
We're looking for PhD-level Biochemists to help train and refine some of the most advanced AI models in the world. Your deep scientific expertise will directly shape how AI reasons about protein folding, metabolic pathways, molecular genetics, and enzyme kinetics — making a real impact on the future of AI in life sciences.
This is a fully remote, flexible contract role. No prior AI experience required.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Design Challenging Problems — Create advanced biochemistry problems spanning nucleic acid chemistry, proteomics, structural biology, and drug-target interactions to rigorously test AI performance.
Author Gold-Standard Solutions — Write precise, step-by-step technical solutions that serve as benchmarks for high-level scientific reasoning in AI systems.
Audit AI Outputs — Evaluate AI-generated biochemical pathways, molecular structures, and mathematical proofs for technical accuracy, scientific validity, and safety.
Refine AI Reasoning — Identify and document logical errors in AI reasoning — such as incorrect stoichiometry, flawed stereochemistry, or misapplied kinetics — and provide structured feedback to improve model performance.
Who You Are
Holds a PhD (completed or near completion) in Biochemistry, Molecular Biology, or a closely related field
Deep domain knowledge in areas such as structural biology, enzymology, cellular metabolism, or bioinformatics
Able to communicate complex biochemical and chemical concepts clearly and precisely in written form
Highly detail-oriented when reviewing chemical equations, molecular diagrams, and experimental protocols
Self-motivated and comfortable working independently and asynchronously
No prior AI or machine learning experience required
Nice to Have
Experience with data annotation, data quality, or evaluation workflows
Familiarity with computational biochemistry tools such as PyMOL, AlphaFold, or BLAST
Background in scientific writing, peer review, or technical communication
Why Join Us
Work on cutting-edge AI projects alongside world-leading research labs
Fully remote and flexible — work on your own schedule
Freelance perks: autonomy, variety, and global collaboration
Gain meaningful exposure to how advanced large language models are trained and evaluated
Contribute to work that shapes how AI understands and communicates science
Potential for ongoing work and contract extension

Work arrangement
Yes

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