{"id":3491704,"url":"https://alion.io/job/dscout-ai-research-engineer","title":"AI Research Engineer","company":{"id":6881,"name":"dscout","domain":"dscout.com","url":"https://alion.io/company/dscout","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"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":250000,"max":400000,"currency":"USD","period":"year","gross":null,"usd_annual":400000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Elixir","optional":false},{"name":"Kotlin","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Reward Modeling","optional":false},{"name":"SOC 2","optional":false},{"name":"LLM","optional":true}],"status":"live","first_seen_at":"2026-10-29T20:25:56Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-05T06:09:21Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"At Dscout, we’re building the most flexible and powerful UX research platform on the market-trusted by the world’s top brands in finance (JP Morgan Chase, Intuit, Charles Schwab, PayPal), healthcare (Aya, Headspace), consumer goods (Keen, Verizon, Target, Northface), and tech (Google, Amazon, Facebook, Meta, Spotify, AirBnB). Our tools help teams deeply understand the humans behind their products, so they can build better ones. We are expanding our smart and driven team and would love for you to join us.\n1. Dscout AI Training & Evals\nDscout AI Training & Evals builds human data and evals that show whether AI works for real people. For ten years Dscout has captured how people behave in real context, with consent and scientific rigor. AI Training & Evals points that engine at AI: consented human behavior and judgment, turned into the training data, evals, and benchmarks AI teams trust.\nCapability has outrun trust. Models ace benchmarks and still surprise people in the wild. A benchmark says how capable a model is. It does not say whether the model works for the person using it, across weeks, in the mess of real life. That gap is where we work.\nWe serve AI researchers, the product builders who ship alongside them, and the research teams who partner with both. We are a new unit inside an established company: live customers, a mature platform (React, Elixir, Python, Swift, Kotlin; SOC 2 and HITRUST certified), a small senior team, and room to build. We work AI-native. Agents write code, evals gate changes, and we aim to do in months what used to take years.\nA note from our Chief AI Officer & GM. The questions that matter most about AI are not answered by a bigger leaderboard. Does a model work for a real person across three weeks of real use? Does a rubric measure what it claims? Does an AI judge agree with the people it stands for? We have a decade of methods for studying people in real context, and we will publish our methods and benchmarks so the field can check our work. Join us to do rigorous science that matters.\nWhy this seat\nWork on a problem the field has not solved: measuring whether AI works for real people, over real time.\nStudy something most evals do not have: real participants, doing real tasks in their own context.\nOwn the benchmark. You are founding it, not joining a team that has one.\nPublish. Methods and benchmarks go to the research community, with first authorship on the benchmark.\nJoin a small senior team with direct access to the Head of AI Research and the GM.\n2. Job Description\nThis is a research-first role focused on questions where the right rubric, benchmark, or method does not yet exist. You will find the gaps, propose bold directions, and take projects from first hypothesis through experiments and benchmark construction to publication. You will also build: the science has to run inside live customer programs.\nWhat you will do\nRubrics and QA science\nDesign rubrics and test whether they measure what they claim: validity, reliability, and sensitivity.\nMeasure how reliable human raters are, and when disagreement is noise versus real signal.\nCalibrate AI judges against real human judgment, and study when they drift away from it.\nBuild quality signals that put evidence behind every data point we ship.\nLong-horizon, real-user benchmarks\nDesign Dscout’s first benchmark: real users, in real context, over long horizons. Multi-week tasks across tools, not one-shot prompts.\nDefine the protocol, task design, scoring, and release. Work with our delivery team on fieldwork.\nWork out how to keep a living benchmark honest over time: drift, contamination, difficulty, and what counts as a meaningful change.\nWrite the paper and own the public release.\nHuman judgment as training and eval signal\nStudy when real-world human feedback improves a model and when it adds noise.\nExplore how preference and judgment data from representative people differ from expert data.\nTurn findings into methods our forward deployed engineers and delivery team can run in the field.\nNew research directions\nThese areas are the core, not the whole list. You will have significant latitude to propose new programs, such as calibrating user simulations against real behavior, human-AI collaboration, and behavioral evaluation of agents.\nCo-author with outside labs and academics on studies that need real-user data. Help run our paper-reading group.\nA good first year\nA QA and rubric framework running on live customer programs, with documented validity.\nBenchmark v0 released, with a paper submitted to a top venue.\nAt least one external team using or citing our work.\nDelivery colleagues using your methods without needing you in the room.\nHow we will hire: a conversation with the Head of AI Research; a research talk on a project you led; a design exercise (how would you validate a rubric for a long-horizon task?); a conversation with the GM, forward deployed engineers, and delivery partners.\n3. Requirements\nWhat we care about most. A strong publication record helps. We care most about whether you can find the question that matters, design a rigorous way to answer it, and move fast enough that the answer is still useful.\nWhat you bring\nPublished research, or strong preprints and workshop papers, in evals, preference learning, reward modeling, human-AI interaction, measurement, or agent evaluation.\nA PhD, a PhD in progress, or an MS with two or more strong research internships at labs or top industry groups. If you do not have advanced degrees but have a history of creative machine learning research work, this is just as desirable.\nStrong applied statistics: inter-rater reliability, confidence intervals, power, and a nose for when a metric misleads.\nHands-on experience with LLM-as-judge, rubric-based evaluation, and preference data.\nStrong Python, and the ability to build research prototypes and evaluation pipelines other people run. You use AI coding tools as a real part of your workflow.\nExperience running experiments on messy human data, not only curated datasets.\nClear technical writing, and the ability to explain your work to a lab researcher and to a product manager.\nBased in the Bay Area.\nNice to have: long-horizon or agentic evaluation work; psychometrics, item response theory, or human-subjects research; open-source benchmark or dataset contributions.\nCompensation:$250-400K OTE + Equity. Includes a built-in bonus and equity program, publication freedom, a conference budget, flexible PTO, 15 holidays, 12 weeks of paid parental leave, 401k match, and an education stipend.\nThis is an ideal list. If the role excites you and you do not check every box, we would still love to hear from you.\nOf course, what is outlined above is an ideal set of expectations; however, business needs and other projects and tasks may shift, and additional tasks could be assigned at the discretion of your manager.\nAbout Dscout\nDscout is a team of passionate, empathetic, and curious professionals. As a recognized leader in the Forrester Wave, we’re at the cutting edge of experience research technology. The power of research drives us - how in-context insights from real people can build more enjoyable products and services. \nWe prioritize learning, sharing, and building. We also deeply value being a diverse and inclusive team and company and look for team members who align with that belief. Join our dynamic team and help shape product roadmaps and business strategies for the world’s most loved brands.\nIt doesn't stop there. When you join the Dscout team, you will get:\nA strong and competitive compensation package with a built-in bonus and equity program.\nAn incredible and progressive benefits package (for both you and your dependents) to support work/life balance, including flexible PTO, 15 company holidays, 12 weeks of paid parental leave, 401k match, and much more.\nAn education stipend to support your growth & development, and a remote work stipend.\nA company that is open and transparent with our team. You will know what is happening and why it matters.\nDscout is an equal-opportunity employer that values diversity. We do not discriminate based on identity, including race, color, religion, national origin or ancestry, sex, gender identity and expression, age, physical or mental disability, pregnancy, veteran or military status, unfavorable discharge from military service, genetic information, sexual orientation, marital status, order of protection status, citizenship status, arrest record or expunged or sealed convictions, or any other legally recognized protected basis under federal, state, or local law.\nIf you need reasonable accommodations for any part of the employment process, please email us at  with the nature of your request and your contact information. We'll do everything possible to ensure you're well-prepared for success during our interview process, while also upholding your privacy, including accommodating any special requests. Please note that only inquiries regarding requests for reasonable accommodation will be responded to from this email address.\nWhen you apply at Dscout, we will process your job applicant data, including your employment and education history, transcript, writing samples, and references, as necessary to consider your job application for open positions. For more information about our privacy practices, please visit our Privacy Policy. \nDscout participates in the E-Verify program in certain locations, as required by law.\nLocation Flexibility: Dscout is proud to support a remote-first workforce and enable employees to work from almost anywhere. At this time, however, we are unable to hire in the following locations: Montana, Hawaii, Alaska, and Washington DC.\nNOTE: DSCOUT NEVER CONTACTS JOB APPLICANTS VIA TEXT, MESSENGER, OR OTHER SIMILAR APPLICATIONS. BE AWARE OF PHISHING AND SPOOFING SCAMS, BOTH VIA TEXT AND EMAIL. 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