The Science & Research roles open on Alignerr today. For the same field across every platform, see all Science & Research jobs.
Pay figures cover the 59 open jobs that publish an hourly rate in USD. They are published rates, not a guarantee of income. Last checked on October 8, 2026.
This role involves translating mathematical proofs into machine-verifiable Lean 4 formalizations for an AI research organization. Mathematicians with formal proof system experience will work on bridging informal mathematical arguments and automated reasoning, identifying gaps in current verification tools and helping advance mechanized mathematics at the intersection of AI and rigorous proof.
This role invites PhD-level applied physicists to evaluate and improve how AI models reason about physical systems. You will design advanced physics problems, author rigorous solutions, audit AI-generated reasoning for physical consistency, and provide expert feedback to refine model behavior across classical mechanics, electrodynamics, quantum mechanics, and related domains.
This role involves evaluating and improving large language models' understanding of physics by designing advanced problems, authoring ground-truth solutions, and auditing AI-generated reasoning across quantum mechanics, electrodynamics, thermodynamics, and other domains. It is suited for PhD-level applied physicists who want to contribute to AI training while working independently on a flexible schedule.
This role invites atmospheric science experts with Masters or PhD credentials to develop rigorous, advanced problems in climate modeling, meteorology, and ecology that train AI systems to reason at the highest scientific level. You will design complex problem statements, evaluate AI-generated reasoning, and collaborate with AI researchers to advance scientific AI capabilities.
This role involves helping train and refine AI models on biochemistry topics by designing test problems, writing ground-truth solutions, and evaluating AI-generated scientific reasoning. The position is ideal for PhD-level biochemists who want to apply their expertise to AI development while working flexibly on a remote, hourly contract basis.
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 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 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 role involves annotating and evaluating chemistry content for AI model training. A PhD chemist will label complex chemistry questions, map conceptual relationships, review AI-generated answers, and develop datasets across multiple chemistry subfields to improve frontier AI models.
This role involves designing, solving, and evaluating advanced chemistry problems to train AI models. Masters and PhD-level chemists will leverage their domain expertise to create rigorous scientific content that enhances AI reasoning capabilities across organic, inorganic, physical, or computational chemistry.
Chemistry experts with PhD-level qualifications design rigorous chemistry problems and evaluate AI model responses for scientific accuracy and reasoning quality. This remote contract role involves assessing how AI systems understand complex chemistry concepts across multiple domains and providing detailed feedback to improve model performance.
This role involves designing, solving, and evaluating complex chemistry problems to train AI models in scientific reasoning. Chemistry researchers with advanced degrees will apply their domain expertise to create rigorous problem sets and evaluate how AI systems understand chemistry concepts, working remotely on a flexible schedule.
This role involves designing, solving, and evaluating complex chemistry problems to train AI models. Chemistry experts with advanced degrees will apply their scientific knowledge to create rigorous problem sets and provide feedback on AI-generated scientific outputs, working remotely on a flexible schedule.
This role involves evaluating clinical trial protocols, study designs, and research outcomes to ensure methodological rigor and scientific integrity. It is designed for experienced clinical researchers, biostatisticians, and pharmaceutical scientists who can work independently and asynchronously on diverse trial assessments.
This role involves evaluating and improving AI systems trained on development economics content by reviewing explanations, scenarios, and reasoning. Development economists assess the accuracy and quality of AI outputs on topics like poverty, inequality, and global development, ensuring the AI communicates economic concepts with appropriate depth and nuance.
This role involves reviewing and validating econometric questions, models, and explanations used in AI training datasets. Instructors with expertise in econometrics and quantitative economics will assess statistical accuracy, identify errors in AI-generated economic reasoning, and provide structured feedback to improve model outputs. The work is remote and asynchronous, suited for experienced econometrics educators.
This role involves training advanced AI models to correctly understand environmental engineering concepts and identify flaws in their reasoning across water treatment, air quality, and hazardous waste remediation. You will design complex technical scenarios, write authoritative solutions, and critically evaluate AI outputs to improve how models think about environmental systems.
This remote contract role involves evaluating AI-generated environmental management analyses and recommendations to improve their accuracy and real-world applicability. Environmental management professionals will assess AI reasoning on sustainability frameworks, impact mitigation, and resource planning while providing structured feedback to enhance AI outputs.
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FAQ
59 Alignerr Science & Research 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 59 open roles that publish an hourly rate in USD, pay runs from $20 to $200 per hour, with a median of $83. These are the rates the platforms publish, not a guarantee of income or hours.
The most requested areas of expertise on these listings are AI Evaluation, Scientific Writing, Mathematics, Experimental Design, Data Annotation. Each listing states its own requirements.
You apply on Alignerr, Labelbox's expert network: create a profile, complete an AI-led interview and skills assessment, then get matched to projects in your field.
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