{"id":1271676,"url":"https://alion.io/job/cua-research-intern-summer-2026","title":"Research Intern (Summer 2026)","company":{"id":2249709,"name":"Cua","domain":"cua.ai","url":"https://alion.io/company/cua-ai","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Work at a Startup","truth_index":null},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":8000,"max":9250,"currency":"USD","period":"month","gross":null,"usd_annual":111000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Computer Use","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LLM","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Qwen","optional":false},{"name":"Reinforcement Learning","optional":false}],"status":"live","first_seen_at":"2026-09-26T00:21:10Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-25T02:21:01Z","board_verified":true,"closed_at":null,"days_open":29,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":29},"description":"Overview\nCua is building the infrastructure that enables general-purpose AI agents to safely and scalably use real computers and applications.\nWe're a small team backed by Y Combinator and top-tier investors, and our open-source tools are already used by thousands of developers. As a Research Intern, you’ll help prototype, test, and benchmark multi-modal LLM-based agents - from data pipelines to orchestration systems.\nYou’ll collaborate with engineers and researchers to turn cutting-edge ideas into real systems and benchmarks that can be shared with the community. This is a chance to contribute to open-source research, design experiments, and explore the frontiers of agentic AI.\nResponsibilities\nGenerate and curate large-scale, high-quality multi-modal data (GUIs, browsers, system UIs)\nDesign and test single- and multi-agent systems for data and computer use\nAutomate benchmarking of agent orchestration (with or without human-in-the-loop)\nExplore new training and inference techniques to boost reasoning and action-taking (e.g., RL-based agents)\nDevelop benchmarks, tools, and datasets to evaluate agentic capabilities on Cua\nCollaborate with the founding team and contribute to research publications, open-source tools, and the broader community\nQualifications\nRequired:\nCurrently a PhD student in Computer Science or related field (strong Master’s considered)\nExperience in applied research with a solid publication record\nFamiliarity with modern multi-modal or reasoning agents (e.g., OS-Atlas, Qwen, GUI-R1)\nHands-on experience with PyTorch, Python, and cloud compute (AWS, GCP, etc.)\nComfortable designing experiments, evaluating models, and working with multi-modal data\nExcited by generative AI, agent systems, and pushing the boundaries of what’s possible\nPreferred:\nExperience with reinforcement learning or agent-based training methods\nPrior contributions to open-source projects or benchmark design\nFamiliarity with large-scale dataset construction and evaluation pipelines\nInterest in bridging research and engineering for real-world applications\nBased in or able to spend time in SF/Bay Area (preferred), but remote OK\nWhat We Offer\nResearch impact - Opportunity to publish, open-source, and influence open agent research\n\nHands-on projects - Work directly with engineers and researchers on cutting-edge systems\n\nOpen-source visibility - Contribute benchmarks and datasets used by the community\n\nFlexible setup - Remote-friendly; SF-based team\n\nLearning environment - Collaborate on projects at the intersection of infrastructure and AI research\n\nHow to Apply\nPlease include:\nYour CV and GitHub/portfolio\nA short note on a research problem you’d like to tackle\nBonus: try building something with Cua or suggest a benchmark idea - we notice contributors\nThis is a paid internship (3-month full-time preferred; part-time considered). Compensation will depend on location and experience.\nCua AI, Inc. is committed to fair and transparent opportunities. We encourage applicants from all backgrounds, identities, and walks of life to apply.\nPersonal data will be handled in accordance with the GDPR (EU Regulation 2016/679) and other applicable data privacy laws.","description_format":"text","description_chars":3184,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Agents","AI Development Tools"],"lifecycle":[{"event":"open","at":"2026-09-26T00:21:10Z"}],"visa":[],"liveness":{"score":35,"band":"fade","label":"Fading","p_open":1,"p_active":0.635,"p_room":0.55,"age_days":28,"expected_fill_days":28,"reasons":["conf:2","win:tail","comp:junior"],"computed_at":"2026-10-24T06:02:35Z"},"pay":{"stated_usd_annual":111000,"is_top_pay":true},"html_url":"https://alion.io/job/cua-research-intern-summer-2026","json_url":"https://alion.io/job/cua-research-intern-summer-2026.json","meta":{"generated_at":"2026-10-25T02:33:16Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":3890,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2249709},"rest":"https://alion.io/mcp/rest/get_company?id=2249709"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcua-research-intern-summer-2026"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fcua-research-intern-summer-2026"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fcua-research-intern-summer-2026"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/cua-research-intern-summer-2026\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcua-research-intern-summer-2026"}]}