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Biochemist

Canberra
Alignerr
Biochemist
Posted: 10 April
Offer description

About the Job

At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting‐edge AI models.

Biochemist - AI Data Trainer

* Organization: Alignerr
* Position: Biochemist - AI Data Trainer
* Type: Hourly Contract
* Compensation: $35–$70 /hour
* Location: Remote
* Commitment: 10–40 hours/week

What You'll Do

* Develop Complex Problems: Design advanced biochemistry problems across domains like nucleic acid chemistry, proteomics, and drug-target interactions to test AI performance.
* Author Ground‐Truth Solutions: Create rigorous, step‐by‐step technical solutions and "golden responses" that the AI will use as a benchmark for high‐level scientific reasoning.
* Technical Auditing: Evaluate AI‐generated biochemical pathways, molecular structures, and mathematical proofs for technical accuracy, safety, and adherence to scientific standards.
* Refine Reasoning: Identify logical fallacies in AI reasoning—such as incorrect stoichiometry or misunderstood stereochemistry—and provide structured feedback to help the model improve its "thinking" process for life science tasks.

Requirements

* Advanced Degree: PhD (completed or in final stages) in Biochemistry, Molecular Biology, or a closely related field.
* Domain Expertise: Strong foundational knowledge in core areas such as structural biology, enzymology, cellular metabolism, or bioinformatics.
* Analytical Writing: The ability to communicate highly technical biological and chemical concepts clearly and concisely in written form.
* Attention to Detail: High level of precision when checking complex chemical equations, molecular diagrams, and experimental protocols.
* No AI experience required.

Preferred

* Prior experience with data annotation, data quality, or evaluation systems.
* Experience with computational biochemistry tools (i.e., PyMOL, AlphaFold, BLAST).

Benefits

* Competitive pay and flexible remote work.
* Collaborate with a team working on cutting‐edge AI projects.
* Exposure to advanced LLMs and how they're trained.
* Freelance perks: autonomy, flexibility, and global collaboration.
* Potential for contract extension.
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