{"id":136704,"url":"https://alion.io/job/encord-human-data-solutions-engineer","title":"Human Data Solutions Engineer","company":{"id":557,"name":"Encord","domain":"encord.com","url":"https://alion.io/company/encord","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Work at a Startup","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":109000,"max_usd":249000,"period":"year","method":"role_country_seniority_unknown","sample_n":202},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Computer Vision","optional":false},{"name":"GCP","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Physical AI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"UiPath","optional":true}],"status":"live","first_seen_at":"2026-08-27T14:39:18Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-11-01T09:34:36Z","board_verified":true,"closed_at":null,"days_open":65,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":65},"description":"About us\nEncord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.\nTrusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.\nThe role\nAs a Human Data Operations & Solutions Engineer at Encord, you will sit at the intersection of technical sales and hands-on data operations. You are the expert who takes a prospect from first demo to a working proof of concept - not just by showing the platform, but by actually delivering a small-scale, high-quality annotation sample that demonstrates what best-in-class data operations looks like in practice.\nYou'll own the full arc: leading technical discovery on demo calls, designing the annotation workflow, managing the delivery of sample datasets, and translating the results into a compelling case for the client. With a strong focus on robotics and autonomous driving, you'll be working with some of the most technically complex and data-intensive AI use cases in the industry.\nWhat you’ll do\nPartner with Account Executives to lead the technical and operational strategy for complex enterprise sales cycles, co-owning the path to a successful proof of concept\n\nLead deep technical discovery sessions with ML Engineers, MLOps leaders, and non-technical stakeholders to understand data requirements and design the right annotation workflow\n\nManage end-to-end delivery of small-scale annotation POCs - translating complex AI requirements into clear instructions for annotation specialists, auditing outputs, and iterating on quality until the sample is client-ready\n\nBuild and deliver tailored demonstrations that combine platform capability with live, real-world annotation results - particularly for robotics, autonomous driving, and multimodal sensor data (LiDAR, camera fusion, etc.)\n\nAct as a trusted advisor to clients on annotation workflow design, data quality, and the operational processes that underpin model performance\n\nProvide structured feedback and guidance to annotation teams during POC delivery, ensuring outputs meet the quality bar required to win client confidence\n\nTranslate findings and operational results into clear value propositions for senior, non-technical stakeholders\n\nServe as the voice of the customer to Product and Engineering, channelling detailed technical feedback from enterprise clients to shape the roadmap\n\nWho we're looking for\nA sharp operator who combines structured, consulting-style thinking with hands-on execution - you're equally comfortable designing a workflow on a whiteboard and auditing annotation outputs in a spreadsheet\n\nTechnically fluent: you can query a database, write a Python script to automate a workflow, or dig into annotation outputs to identify quality issues - and you know enough about ML pipelines to speak credibly with engineers\n\nA natural communicator who can run a compelling demo, walk through a POC delivery, and explain what it all means to a VP in plain language\n\nGenuinely passionate about AI, with particular interest in robotics, autonomous driving, and the data operations challenges that come with physical AI\n\nEntrepreneurial and collaborative - you take ownership, move fast, and thrive when the work is ambiguous and high-stakes\n\nExperience requirements\n1-3 years of professional experience, ideally spanning strategy consulting, AI/technology operations, or customer-facing technical roles (Solutions Engineering, Technical Account Management, or similar)\n\nProven ability to own complex, multi-stakeholder workflows end-to-end - from scoping and planning through execution, quality assurance, and client communication\n\nWorking proficiency in Python or SQL, with the ability to query data, automate workflows, or audit annotation outputs\n\nExperience designing or optimising data operations processes with a strong eye for quality, consistency, and scalability - ideally involving human-in-the-loop or structured labelling workflows\n\nDemonstrated ability to engage effectively with both technical stakeholders (ML engineers, data scientists) and non-technical clients\n\nHands-on experience with at least one major cloud platform (GCP, AWS, or Azure), including data storage and ML workflow patterns\n\nBonus: hands-on experience with computer vision, LiDAR, robotics sensor data, or autonomous driving datasets; prior exposure to data annotation platforms or quality management frameworks; experience in a customer-facing technical role at an AI company\n\nWhy Encord\nCompetitive salary, commission, and equity in a high-growth startup\n\nStrong in-person culture - most of the team works from our London office 3+ days/week\n\n25 days annual leave + UK public holidays\n\nAnnual learning & development budget\n\nTravel for customer visits, events, and conferences across the UK and Europe\n\nCompany lunches twice a week\n\nMonthly socials & bi-annual team offsites","description_format":"text","description_chars":5121,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Annual leave","Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["MLOps","AI Training Data & Annotation"],"lifecycle":[{"event":"open","at":"2026-08-27T14:39:18Z"}],"visa":[],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.355,"p_room":0.28,"age_days":65,"expected_fill_days":28,"reasons":["conf:0","win:tail","crowd:"],"computed_at":"2026-11-01T06:10:25Z"},"pay":null,"html_url":"https://alion.io/job/encord-human-data-solutions-engineer","json_url":"https://alion.io/job/encord-human-data-solutions-engineer.json","meta":{"generated_at":"2026-11-01T10:57:32Z","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":16873,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-02T00:00:00Z"}},"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":557},"rest":"https://alion.io/mcp/rest/get_company?id=557"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fencord-human-data-solutions-engineer"},{"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%2Fencord-human-data-solutions-engineer"},{"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%2Fencord-human-data-solutions-engineer"},{"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/encord-human-data-solutions-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fencord-human-data-solutions-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":136704}},{"tool":"search_jobs","arguments":{"company":"encord.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":136704},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); 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