• Design, curate, and implement complex AI evaluation benchmarks and dataset frameworks to test advanced LLM capabilities and limitations • Conduct experimental research, red teaming, and systematic testing to identify model failure modes, edge cases, and reasoning gaps • Utilize Python, Jupyter/Colab environments, and modern IDEs to write scalable code, process datasets, and automate evaluation pipelines • Collaborate with AI research and engineering teams to translate complex subject-matter concepts into actionable model benchmarks • Document research findings, track codebase and dataset changes via Git, and deliver precise sourcing and evaluation reports.

Role Description This is a remote position for a candidate who has experience in our field trials testing medicated bird feed for West Nile control. They will analyze bird pictures and other data from our trial to advance our publications on this project. Qualifications - Minimum of a Bachelor's degree in a biological or health sciences field - 1 year or more experience performing field trials on novel One Health methods designed to control West Nile virus - Strong work ethic - Strong organizational and communication skills - Experience analyzing data from field studies, including animal identification from camera trap pictures Requirements - Bird handling/ID experience - Mosquito identification - Molecular biology and field research skills Benefits - Robust benefits package - Collaborative atmosphere - Focus on work-life balance Salary Range $24/hour Required Application Documents - Resume/CV

Role Description Planned Systems International (PSI) is currently seeking a motivated high school student interested in research, writing, and public speaking to complete a short-term internship focused on understanding Generation Z's perspectives on education and careers. The intern will conduct independent research on current trends influencing Gen Z's decisions regarding college education, trade schools, career paths, and workplace expectations. The internship will culminate in a written research paper and a professional presentation of findings to PSI management. This internship is designed to expose students to professional research methods, critical analysis, and executive-level communication while producing actionable insights that may help PSI better understand emerging workforce trends and future talent expectations. The intern will work under the guidance of a PSI mentor who will provide project direction, feedback, and periodic progress reviews throughout the internship. Qualifications - Current high school student (grades 10–12 preferred). - Strong academic performance. - Excellent written and verbal communication skills. - Curious, self-motivated, and willing to learn. - Comfortable conducting interviews and speaking with professionals. - Familiarity with Microsoft Word, PowerPoint, and internet research tools. - Ability to work independently while meeting project deadlines. Requirements - Research current articles, studies, surveys, and reports regarding Generation Z workforce and education trends. - Investigate topics including: - College education versus trade school preferences - Factors influencing educational decisions - Career goals and expectations of Generation Z - Workplace values, flexibility, compensation, and work-life balance - Employer expectations versus employee expectations - Conduct interviews with selected students, recent graduates, educators, and/or young professionals to develop qualitative case studies. - Organize research findings and identify key themes and trends. - Analyze similarities and differences between published research and interview results. - Prepare a professional research paper summarizing findings, observations, and recommendations. - Develop a PowerPoint presentation highlighting major conclusions. - Present research findings to PSI managers and participate in a question-and-answer discussion. Benefits - Competitive total compensation package. - Paid leave. - Options for employer-sponsored group medical, dental, vision, short-term and long-term disability, life insurance, AD&D coverage, legal services, identity theft, and accident insurance. - Flexible spending account and health saving account options for pre-tax savings. - Company-sponsored 401(k) retirement plan with employer contribution match that is immediately vested. - Investment in professional growth through professional courses, certifications, and tuition reimbursement programs.

Title: Research Engineer Location: San Francisco Department: Service Operations – Research Job Description: About SuperAnnotate The Impact You'll Make Our research team is expanding to keep pace with a wave of frontier-facing work: internal research streams, client engagements that require real ML depth, and emerging opportunities at the cutting edge of the field. As a Research Engineer, you'll take a research direction and run with it – finding the right papers, benchmarks, and prior work, reimplementing what's relevant, and building out the process to reproduce and improve on it internally. You'll own initiatives end to end: partnering with strategic project and technical leads to scope the work, building MVPs to validate ideas (including through human annotation and agents), and turning that work into something concrete – a customer dataset, a pilot, an internal dataset that becomes a paper or blog post, or a joint publication with a partner. You won't be handed a fully specified task list; you'll be given a direction and the autonomy to turn it into a research plan. This is a full-time, hybrid position based in San Francisco. What You'll Do - Take a research direction and independently identify supporting resources – papers, benchmarks, blog posts – then implement or reimplement the relevant methods. - Build and own the process to reproduce prior work internally and identify ways to improve on it. - Own projects (for example, an RL/agentic environment build for a partner or a novel multimodal benchmark) end to end, including scoping, MVP implementation, and validation. - Partner with strategic project leads and technical leads to translate ambiguous requirements into a concrete, testable research plan. - Validate ideas through hands-on implementation, including annotating, evaluating, or sourcing data. - Turn research directions into tangible outputs – a paid customer dataset, a customer pilot, an internal dataset, or a paper/blog post for publication or conference presentation. - Bring an ML perspective to new opportunities — assessing technical feasibility of incoming requests and helping shape proposals where research depth is needed. What You'll Bring - MS or PhD in ML, CS, or a related quantitative field – or equivalent demonstrated research experience (publications, significant open-source research work, industry research). - Real ML depth: you understand how models are trained and evaluated, not just how to call an API. You can read a paper, judge whether its claims hold, and reimplement the method. - Hands-on experience with at least one of: RL/agentic systems, AI/ML evaluation and benchmarking, or multimodal ML. - Strong Python and the engineering ability to build and ship your own experiments – eval harnesses, environments, infrastructure – without relying on a platform team. - High autonomy: you can turn an ambiguous direction into a concrete research plan and notice when something's off before being told. - Clear technical writing Nice To Have - Publication track record (first-author preferred). - Experience with agent or multimodal benchmarks (OSWorld, MMMU, WebArena, SWE-bench, or similar) or building RL environments/gyms. - Familiarity with reward modeling, reward hacking, or verifier/judge reliability. - Familiarity with synthetic data generation or human-in-the-loop (HITL) workflows. - Experience with cloud infrastructure and containerized environments. - A deep RL background specifically. $180,000 - $280,000 a year In addition to the annual base salary, employees are eligible for an annual bonus paid out quarterly. Why SuperAnnotate This is a rare opportunity to work at the intersection of frontier AI research and real production impact. You'll work on projects with frontier labs that move the needle on model performance, with your work feeding directly into the next generation of agent capabilities. You'll have the opportunity to implement projects that actually matter, publish research, and present at conferences – alongside a multidisciplinary, multinational team and collaborate with some of the most prominent labs and AI companies globally. Only shortlisted candidates will be contacted for an interview! Equal Opportunity We are an equal-opportunity employer and value diversity at our company. At SuperAnnotate diversity means to us making an effort to reflect the many experiences and identities of the outside world, and treating each other with fairness and without bias. Every day we foster an environment where people of all backgrounds not only belong, but excel to succeed as a company and grow together. We offer equal opportunity regardless of sex, sexual orientation, national origin, color, race, age, marital status, disability, gender identity, veterans and more. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.