Open AI training and model evaluation roles that call for Biology expertise, gathered from 5 platforms. Part of Science & Research.
Pay figures cover the 19 open jobs that publish an hourly rate in USD. They are published rates, not a guarantee of income. Last checked on October 8, 2026.
A fully remote contract role where PhD-level biochemists create expert-level problems, author gold-standard solutions, and audit AI-generated biochemical reasoning to train and improve scientific AI models. Ideal for biochemists passionate about scientific rigor who want to shape the accuracy of next-generation AI without requiring prior AI experience.
This is a contract position for biologists with PhDs to annotate and evaluate training data for AI models. The role involves labeling biology questions and concepts, mapping relationships between biological principles, reviewing AI-generated answers, and designing training datasets across biology subfields.
This role involves designing and evaluating advanced biology problems to help train AI models to reason rigorously about scientific topics like genetics, biotechnology, and bioinformatics. Masters and PhD holders in biology will apply their domain expertise to assess AI-generated reasoning for scientific accuracy and clarity in a fully remote, flexible contract position.
This role involves evaluating and improving AI models' understanding of biology by designing rigorous problems, developing solutions, and assessing AI-generated outputs for scientific accuracy and reasoning quality. It is designed for biology researchers and academics who can work independently on a flexible, remote contract basis.
This role involves creating and evaluating biology problems to test and improve AI models' scientific reasoning capabilities. Biology masters-level experts will design rigorous test cases, assess AI outputs for accuracy, and provide feedback to enhance model performance across various biology domains.
This role offers biologists with advanced degrees the opportunity to contribute to AI model training by developing rigorous biology problems, evaluating AI-generated scientific content, and ensuring scientific accuracy in AI reasoning. Remote and flexible, it leverages deep domain expertise to shape how AI systems approach complex problems in genetics, biotechnology, and bioinformatics.
This role involves collaborating with an AI training platform to develop and evaluate biology problems, stress-test AI reasoning on genetics and biotechnology topics, and ensure scientific accuracy in AI-generated biological explanations. It is designed for advanced researchers and scientists with deep domain expertise who want flexible, intellectually challenging work without requiring prior AI experience.
This role involves creating and evaluating biology content to train and benchmark AI models. Biology experts with advanced knowledge will design questions, develop solutions, assess AI-generated responses, and provide feedback to improve model performance across undergraduate to graduate-level topics.
This freelance remote role asks conservation and environmental science professionals to check how AI systems handle questions about ecosystems, land use, soil, water and biodiversity. The reviewer judges whether the scientific content and recommendations match sound practice, then gives structured, actionable feedback to improve the model's reasoning. It suits experienced practitioners who want to shape AI reliability while working on their own schedule.
This remote, task-based role asks scientists to check AI-generated material on wildlife and habitat conservation for accuracy and ecological soundness. Reviewers judge the quality of the reasoning behind proposed conservation strategies and give structured feedback so the AI describes these topics correctly. It suits experienced ecologists and wildlife specialists who can work independently on a flexible schedule.
This role involves evaluating AI models' biological reasoning against established scientific literature. You will write test prompts to probe biological understanding, review AI-generated responses for errors and fabricated citations, and provide scientifically accurate answers based on primary sources when the model's output is inadequate.
This role involves designing realistic experimental biology tasks and evaluating how frontier AI models perform on benchmark scientific challenges. You'll create scenarios from your own laboratory practice, run them through AI systems, and grade the AI's output against professional standards to help train models on hands-on experimental work.
This role is designed for expert and experienced biologists to evaluate and rate responses generated by AI models in the field of biology. You will be tasked with writing research problems, evaluating experimental protocols, and identifying gaps between theoretically correct answers and their practical viability in the laboratory.
Posted September 15, 2026
This role is for molecular biology experts capable of independently designing nucleic acid sequences. You will contribute to improving AI models by evaluating their reasoning in the field, designing complex tasks, and writing reference solutions that will be used to train models. You will also establish quality criteria and guidelines for judging sequence design.
Posted September 11, 2026
You will join a cutting-edge generative artificial intelligence team to contribute to the development of foundational AI models. As a molecular biology expert, you will design complex tasks, validate the quality of training data, and establish evaluation criteria to optimize the biological reasoning of AI models. This role is intended for researchers with solid hands-on experience in nucleic acid construct design and high-level scientific output.
Posted September 11, 2026
This remote-style role asks PhD scientists who are fluent in both English and Indonesian to help make AI models safer on technical subjects. Contributors write expert prompts in Indonesian, then judge model answers for accuracy, helpfulness, and handling of sensitive material. No prior AI experience is needed because the workflow is taught on the job.
Posted September 4, 2026
You will contribute to an AI training project by solving, validating, and commenting on complex problems in your scientific field of expertise. The role combines rigorous scientific analysis, Python programming for calculations and simulations, and critical evaluation of solutions generated by AI.
Posted September 1, 2026
Referral link to micro1's job list: search for this role there. Open this exact job
This role involves designing realistic evaluation challenges for AI models applied to drug discovery. As an expert in chemistry and molecular biology, you will build complex research scenarios based on real and ambiguous data, where AI must demonstrate genuine reasoning capability rather than simple pattern association. You will be responsible for the entire process: challenge design, data corpus assembly, response evaluation, and iterative revision.
Posted August 31, 2026
This ongoing project hires advanced STEM experts to write graduate-level and PhD-level problems with exact, verifiable answers, helping AI systems improve at rigorous scientific reasoning. Participants create original problems in their own specialty, write detailed step-by-step solutions, and sometimes review AI-generated answers to find reasoning errors. It is aimed at PhD candidates and holders, postdoctoral researchers, and faculty in biology, chemistry, physics, mathematics, and selected engineering fields.
Posted August 6, 2026
Join a network of talents specialized in biology to collaborate with leading AI laboratories on model training and evaluation projects. You will contribute to the advancement of AI research by bringing your expertise in molecular and cellular biology, according to your availability and interests.
Posted February 27, 2026
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FAQ
20 Biology AI training jobs are open on SideHustler today. Listings are rechecked against the official postings: the latest check on this list was on October 8, 2026.
Among the 19 open roles that publish an hourly rate in USD, pay runs from $19 to $150 per hour, with a median of $75. These are the rates the platforms publish, not a guarantee of income or hours.
Alignerr (10), Mercor (6), DataAnnotation (2), micro1 (1) and Terac (1). You apply on the platform itself, which handles screening, contracts and payment.
The most requested areas of expertise on these listings are Biology, AI Evaluation, Data Annotation, Experimental Design, Scientific Writing. Each listing states its own requirements.
Apply now opens the official posting on the platform, where you complete the application. You need no account on SideHustler. To see which roles fit your background first, add your resume and every open job is scored against your profile.
