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Research Engineer
SuperAnnotate · San Francisco, CA, USA
Pay
$180k–250k
Setting
On-site
About SuperAnnotate SuperAnnotate helps the world’s leading AI teams build responsible, next-generation models powered by high-quality human data. We’re a fast-growing Series B startup bridging the gap between advanced AI innovation and the data that drives it. Our global network of expert specialists, scalable managed operations, precise talent matching, and full project transparency ensure unmatched data quality at scale. Trusted by innovators like Databricks and ServiceNow - and backed by NVIDIA, Dell Technologies Capital, Databricks Ventures, Cox Enterprises, and Lionel Messi’s Play Time VC - SuperAnnotate is proud to be the top-ranked AI data company on G2 for multiple consecutive years, including 2025. 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. 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. 180000 - 250000 USD a year In addition to the annual base salary, employees are eligible for an annual bonus paid out quarterly.
Listed by SuperAnnotate for a position based in the United States. Employers on this board attest they are hiring domestically.
Global Account Director
SuperAnnotate · San Francisco, CA, USA
Pay
$350k–450k
Setting
On-site
About SuperAnnotate SuperAnnotate helps the world’s leading AI teams build responsible, next-generation models powered by high-quality human data. We’re a fast-growing Series B startup bridging the gap between advanced AI innovation and the data that drives it. Our global network of expert specialists, scalable managed operations, precise talent matching, and full project transparency ensure unmatched data quality at scale. Trusted by innovators like Databricks and ServiceNow - and backed by NVIDIA, Dell Technologies Capital, Databricks Ventures, Cox Enterprises, and Lionel Messi’s Play Time VC - SuperAnnotate is proud to be the top-ranked AI data company on G2 for multiple consecutive years, including 2025. The Impact You'll Make We are looking for an experienced, driven and enthusiastic Global Account Director who can guide our prospects and customers through their buying journey with SuperAnnotate. You will be working directly with the sales management and founding team daily, and be expected to have a critical impact on the organization and on its revenue. It will be critical for this candidate to be someone who has an entrepreneurial mindset, thinks strategically, wants to build as much as sell, can prospect as well as close deals, and is willing to get his/her hands dirty. This is a full-time, hybrid position based in San Francisco. What You'll Do Develop pipeline using demand generation, prospecting tools, professional networking, and enterprise selling methodology Build account plans and manage a territory of target enterprises training and deploying frontier AI models Explore & identify new opportunities in new accounts and expansion of existing accounts, including new use cases, data types, and modalities within current customers Research and present business intelligence about customers' and prospects' model development roadmaps, data needs, and where human data services fit into their pipeline Scope and shape services engagements, including specialized labeling workforces, data pipelines, and project structures aligned to customer model needs Help develop and continuously improve our prospecting and selling motions Own deals from prospect to close, and maintain relationship with delivery/customer success through renewals and expansions What You'll Bring 5+ years of experience selling and generating demand for enterprise services, with strong preference for candidates who have sold data services, managed services, or professional services into AI/ML buyers Experience and relationships selling to executives and teams training frontier AI models at organizations such as Google, Microsoft, OpenAI, Anthropic, Apple, Meta, etc. Previous experience selling into AI/ML, data labeling, data annotation, RLHF, or related human-data services required Comfort selling complex, high-touch services deals where pricing, scope, and delivery model are negotiated and customized per account, rather than a standard licensing motion High business acumen and ability to sell technology and business value to all levels of an organization including individual contributors, mid-level management, and C-level executives Experience with MEDDICC and enterprise selling methodologies such as Command of the Message Consistent track record of exceeding quota Strong ability to succeed in multi-channel pipeline generation including inbound discovery calls, outbound prospecting, working with SDRs and working with partners Comfortable with ambiguity, creative, and incredibly resourceful Self-starter and independent worker, ambitious and takes initiative An attentive listener, quick study, and skilled influencer Strong customer presence, with polish and dedication to customer outcomes Ability to travel occasionally to meet customers and attend industry events What We Offer Attractive base salary with significant stock options offering an ownership stake in the company's success Comprehensive health, dental, and vision insurance plans 401(k) retirement plan Flexible paid time off, holidays, and parental leave policies Opportunity to shape the future of a cutting-edge technology company Access to ongoing training and professional development opportunities Referral Program 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. 350000 - 450000 USD a year Compensation range is total on-target earnings (OTE), which includes base salary and variable commission.
Listed by SuperAnnotate for a position based in the United States. Employers on this board attest they are hiring domestically.
Strategic Projects Lead (Technical)
SuperAnnotate · San Francisco, CA, USA
Pay
$140k–210k
Setting
On-site
About SuperAnnotate SuperAnnotate helps the world’s leading AI teams build responsible, next-generation models powered by high-quality human data. We’re a fast-growing Series B startup bridging the gap between advanced AI innovation and the data that drives it. Our global network of expert specialists, scalable managed operations, precise talent matching, and full project transparency ensure unmatched data quality at scale. Trusted by innovators like Databricks and ServiceNow - and backed by NVIDIA, Dell Technologies Capital, Databricks Ventures, Cox Enterprises, and Lionel Messi’s Play Time VC - SuperAnnotate is proud to be the top-ranked AI data company on G2 for multiple consecutive years, including 2025. The Impact You'll Make We’re looking for a skilled, technical operator who can take full ownership of our most complex, high-value client engagements. As a Strategic Projects Lead, you’ll run the end-to-end delivery of SuperAnnotate’s largest LLM and Gen AI data programs. This includes everything from scoping data collection workflows with key clients, acting as a trusted resource to researchers, diagnosing data quality issues, and reallocating resources under a tight deadline. The role touches everything: strategy, execution, client relationships, team development, and process design. You’ll work directly with researchers, data teams, and other key stakeholders at some of the most advanced AI organizations in the world. You'll be trusted to represent SuperAnnotate at the highest level, including on technical tradeoffs, and to grow those relationships through execution and management excellence. You don't need to be building models, but you do need to be technical enough to understand how they're trained, evaluated, and improved. That means hands-on comfort with data, code, and pipelines, and the ability to engage credibly with client engineering and research teams on LLM data challenges and evaluation approaches. This is a full-time, hybrid position based in San Francisco. What You'll Do Own project delivery end-to-end: Lead LLM and Gen AI data engagements from initial scoping through final delivery - including use case definition, resource planning, quality oversight, and client sign-off. The project succeeds or fails on your watch. Be the client’s main point of contact: Build and maintain trusted relationships with key stakeholders. Bring transparency, good judgment, and a solutions orientation to every interaction. Drive operational discipline across workstreams: Manage timelines, staffing plans, and delivery quality across multiple concurrent projects. Catch problems before they become crises and fix them before they reach the client. Design and build the systems that make delivery possible: Architect data pipelines, quality frameworks, and review infrastructure that let your team execute at scale. Instrument the right KPIs, catch regressions early, and continuously refine processes as program needs evolve. Lead and develop your team: Recruit, mentor, and performance-manage the operations and subject matter experts. Set the bar, support the people, and build toward a team that can scale. Identify scope expansion opportunities: Partner with Go-to-Market to turn strong delivery into expanded engagements. Understand your clients’ broader AI data challenges well enough to propose what’s next. Keep leadership and clients informed: Develop reporting cadences and executive briefings that give an honest, clear picture of project health, risks, and outcomes. What You'll Bring 4+ years of experience running complex technical projects or operations in client-facing roles, with at least some of that time in a high-growth startup environment. A track record of owning outcomes: You’ve managed cross-functional workstreams with real accountability - and you can point to what you delivered and how. Coding ability and analytical depth: You have solid coding skills (Python, SQL, or similar) alongside depth in machine learning, statistics, or data science. Strong senior stakeholder communication: You’re comfortable in a room with a CTO or VP and can represent a complex project clearly, confidently, and honestly. Sharp operational problem-solving: You diagnose issues structurally, propose solutions with clear tradeoffs, and move quickly from analysis to action. Financial and resource fluency: You understand project margins, can build resource plans, and think about the business impact of operational decisions. A working knowledge of the Gen AI landscape: Familiarity with how LLMs are trained and evaluated, and what drives data quality at each stage, so you can guide your team’s approach and speak knowledgeably with client research teams. Bachelor's degree or higher in Statistics, Data Science, Machine Learning, Computer Science, Mathematics, Engineering, or a related quantitative field. CS, Math, and Engineering degrees should include meaningful ML or applied data science exposure. Nice to Have Experience building or managing large distributed contributor or expert workforces. Background in management consulting, investment banking, or data-intensive technical services. MBA or equivalent advanced degree. Why SuperAnnotate This role sits at the center of what SuperAnnotate does and what the AI industry needs most right now. You’ll work on problems that matter, with clients who are building the systems that will define the next decade of AI. You’ll have real ownership, real visibility, and a direct line to leadership. 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. 140000 - 210000 USD a year In addition to the annual base salary, employees are eligible for an annual bonus paid out quarterly.
Listed by SuperAnnotate for a position based in the United States. Employers on this board attest they are hiring domestically.
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