Research Engineering Jobs

This role is a hands-on technical owner operating at the intersection of research, data, and real-world AI systems for a company that provides frontier evaluations and reinforcement learning environments to improve LLM capabilities. The MTS will own research and evaluation initiatives end-to-end, design ML-oriented data systems, analyze model failures, and translate ambiguous behaviors into structured evaluation frameworks. They will work closely with researchers and domain experts to ensure experimental work produces clean, defensible research signal that translates into meaningful improvements in deployed systems.

This role involves working remotely as a Cell Biologist to support the training of next-generation AI systems. You will apply your expertise in mammalian cell culture, transfection, and clonal isolation to design experiments and generate high-quality biological datasets. Your work will help AI models learn and reason using real-world scientific data. No prior AI experience is required—only domain knowledge in cell biology.

This role applies molecular biology expertise to train next-generation AI systems, focusing on CRISPR-based gene editing, cloning, and high-throughput screening. The molecular biologist will design and execute experiments, validate genetic modifications, and collaborate with interdisciplinary teams to convert experimental data into structured formats for AI model training. No prior AI experience is required, only domain knowledge in molecular biology.

This role applies deep expertise in stem cell and molecular biology to train next-generation AI systems. You will develop and review training materials, ensure scientific accuracy, and collaborate with interdisciplinary teams to define best practices for biological data annotation. No prior AI experience is required — your domain knowledge is what matters.

This role involves applying protein biochemistry expertise to help train next-generation AI systems by conducting research on protein folding, enzymatic activity, signaling pathways, and post-translational modifications. The Protein Biochemist will analyze protein structure and function, evaluate the impact of compounds, and collaborate with interdisciplinary teams to translate biochemical insights into AI training datasets. The position is remote, contract-based, and pays $40-$60 per hour.

This role involves applying chemical biology expertise to train next-generation AI systems by designing and synthesizing small molecules, developing new methodologies, and evaluating data quality. The work directly shapes AI model learning through high-quality, real-world scientific input. It is a contract, remote position with a focus on integrating chemical biology insights into AI-driven research.

This role involves applying journalistic expertise to train next-generation AI systems by providing high-quality, real-world input. The journalist will research, pitch, and develop news stories, conduct interviews, verify facts, and produce clear, accurate content. The work is performed remotely as a contractor, with no prior AI experience required — domain knowledge in journalism is the key qualification.

This role is for a Machine Learning Researcher who applies domain expertise to train next-generation AI systems, shaping how models learn and reason. The researcher leads cutting-edge research, designs deep learning algorithms using TensorFlow, collaborates with engineering teams to scale solutions, and publishes findings. No prior AI experience is required—domain knowledge is the key asset.

This C Developer role involves applying expertise in C programming to help train next-generation AI systems. The work will shape how AI models learn, reason, and perform through high-quality, real-world input. No prior AI experience is required—domain knowledge in C is what matters. The position is remote and contract-based.

This role involves leveraging expert-level knowledge of DesignSpark PCB to help train AI systems by analyzing and evaluating real-world electronic designs. The expert will create and refine datasets reflecting best practices in PCB layout, analog circuits, high-speed digital design, and power electronics simulation. They will also simulate circuits, provide feedback on design integrity, and contribute to documentation and knowledge transfer, all while collaborating with a global team.

This role involves applying electrical engineering expertise to train next-generation AI systems. As a contractor in micro1's Super Star Program, you will consult with clients, create sample tasks, and advise on engineering decisions. Your domain knowledge will shape how AI models learn, reason, and perform through high-quality, real-world input.

This is a consulting role where experienced engineers apply their domain expertise to train next-generation AI systems. As a member of micro1's Super Star Program, you advise client teams and micro1 staff on complex engineering scenarios, participate in calls, and design sample tasks that reflect real-world challenges. The role does not require prior AI experience—your deep engineering knowledge is the key asset.

This role involves applying journalistic expertise to train next-generation AI systems by researching, writing, and fact-checking news stories. The journalist will create high-quality, accurate content to improve AI learning and reasoning, working remotely on a contract basis. The position requires independence, ethical rigor, and strong storytelling skills.

This role involves applying STEM expertise to train next-generation AI systems by providing high-quality, real-world input. You will analyze complex engineering problems, evaluate technical documentation, and review engineering calculations and simulations. The position requires strong analytical skills and attention to detail, with no prior AI experience needed.

This role involves applying chemistry expertise to help train next-generation AI systems. The contractor will analyze scientific documents, develop high-quality questions and answers, and collaborate with teams to ensure scientific rigor. No prior AI experience is required—domain knowledge in chemistry is the primary qualification.

This role involves applying advanced physics expertise to train next-generation AI systems. As a Senior Physics Adjudicator, you will evaluate and resolve conflicting methodologies, review scientific content for accuracy, and provide detailed feedback to improve AI model understanding. No prior AI experience is required; your domain knowledge is the key asset.

This role involves auditing advanced physics content to train next-generation AI systems. You will evaluate the accuracy and rigor of solutions across specialized physics subfields, identify errors and inconsistencies, and provide detailed feedback. Your domain expertise, rather than AI experience, is the key qualification. The work is part-time (10 hours/week), remote, and contributes directly to refining AI learning models.

This role involves applying deep domain expertise in physics to train next-generation AI systems. You will formulate and solve advanced mathematical physics problems, develop computational models using Python and SymPy, and produce publication-level written explanations. The work is remote, part-time (10 hours/week), and requires no prior AI experience—only your physics knowledge.

As a Scriptwriter, you'll craft original scripts to train AI systems, shaping how models learn and reason. You'll collaborate with project managers, ensure clarity and consistency, and translate complex concepts into compelling narratives. This is a remote contractor role for those with scriptwriting expertise.

This role involves applying advanced physics expertise to train AI systems by solving novel problems and annotating research materials. The contractor will document processes using LaTeX, Jupyter, and Python, collaborate with the customer's team, and engage in rigorous research. This project aims to improve AI model reasoning and learning through high-quality domain-specific input.

This role involves applying deep expertise in computational physics to train and improve next-generation AI systems. You will analyze large-scale scientific data, develop and refine quantitative models and simulations, and collaborate with interdisciplinary teams to enhance AI's scientific reasoning capabilities. The work requires high standards of scientific integrity and clear communication of complex concepts.