Biology Subject Matter Expert - AI Content Specialist

Job description

**Job Type:** Full-time

### Biology Subject Matter Expert (AI Training)

### About The Role

We're looking for biology experts to help train and improve the next generation of AI models. At Alignerr, we partner with the world's leading AI research labs --- and your scientific knowledge is exactly what's needed to push these systems further.

This is a unique opportunity to apply your Masters-level biology expertise to a field that's moving fast and shaping the future.

No AI background required --- just a sharp scientific mind and the ability to think rigorously.

* Organization: Alignerr
* Type: Hourly Contract
* Location: Remote
* Commitment: 10--40 hours/week

### What You'll Do

* Design challenging, advanced biology questions to rigorously test AI performance
* Develop clear, step-by-step solutions with thorough scientific reasoning
* Evaluate AI-generated outputs for accuracy, depth, and quality of reasoning
* Collaborate with researchers to refine benchmarks spanning undergraduate through Masters-level biology
* Work independently and asynchronously on your own schedule

### Who You Are

* Pursuing or holding a Masters degree in Biology, Biotechnology, Biochemistry, or a closely related field
* Strong scientific reasoning and problem-solving skills across advanced biology domains
* Able to communicate complex concepts clearly and precisely in writing
* Detail-oriented with a commitment to scientific accuracy
* No prior AI experience required

### Nice to Have

* Experience with data annotation, data quality review, or evaluation systems
* Background in research, academic writing, or science communication
* Familiarity with molecular biology, genetics, physiology, or related specializations

### Why Join Us

* Work on cutting-edge AI projects with top research labs
* Fully remote and flexible --- work on your own schedule, from anywhere
* Freelance perks: autonomy, variety, and global collaboration
* Direct engagement with industry-leading large language models
* Contribute to meaningful work that advances how AI understands science
* Potential for ongoing work and contract extension
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