SWE Fellow - Human Frontier Collective
The fellowship engages experienced software engineers or technical researchers in designing evaluations, datasets, and expert analyses for advanced generative AI systems. Fellows contribute to applied AI research and publications with flexible remote project work.
About the job
Responsibilities
- Collaborate on high-impact projects with partnered AI labs and platforms.
- Design complex, domain-specific problems and datasets to rigorously evaluate AI models.
- Provide expert insights to improve model accuracy, reasoning, and overall performance.
- Collaborate with the research team to co-author technical reports and research papers.
Requirements
- 5+ years of software engineering or related technical experience, or equivalent domain expertise through academic work such as a PhD, postdoctoral research, or faculty experience in computer science or a related field.
- Demonstrated coding proficiency and analytical abilities.
- Deep expertise in at least one of Python, Java, Rust, Swift, JavaScript, or C++.
- Detail-oriented, innovative, collaborative mindset with an interest in applied AI research.
Benefits and Compensation
- Fully remote work with a flexible schedule.
- Flexible workload of 10–40 hours per week.
- Opportunities for professional development through review projects, advisory roles, and research.
- Collaboration with a global network of academics and experts.
- Project pay rates vary based on the project, scope, skill set, and location.
Skills
Python, Java, Rust, Swift, JavaScript, C++, Generative AI, Ai Model Evaluation, Dataset Design, Analytical Skills
Similar jobs
AI Research jobsConduct applied research on AI agents, designing experiments and evaluation systems to improve reliability, context retention, and multi-step task completion. The role requires strong AI/ML research, engineering, experimental design, and communication skills.
Research and engineer security measures for LLM-powered web agents and chatbots, including adversarial testing, secure architectures, model evaluation, and security-focused training. The role requires strong Python and ML expertise, AI security experience, and preferably a computer science Ph.D.
Research and engineer AI systems, optimizing and evaluating machine-learning models and on-device performance across desktop and mobile products. The role requires software development experience, systems and networking knowledge, and expertise with modern ML frameworks, privacy, and security.
Own and optimize an enterprise customer-support AI agent by improving prompts, conversational quality, guardrails, intent recognition, and performance. The role requires deep conversational AI experience, strong analytical skills, platform expertise, and strategic collaboration across support teams.
Research fellows propose, build, validate, and publish benchmarks or evaluation methodologies for measuring frontier AI performance on economically valuable professional and scientific work. The fellowship requires a specific research pitch, relevant technical or adjacent-field background, and a commitment of at least 20 hours per week.