{"id":43759,"url":"https://alion.io/job/xai-human-data-engineer","title":"Human Data - Engineer","company":{"id":28,"name":"xAI","domain":"x.ai","url":"https://alion.io/company/xai","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":88,"open_postings":100,"ghost_share":0,"stale_share":0.47,"repost_share":0,"time_to_fill_p50_days":59,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Palo Alto, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":220000,"max":null,"currency":"USD","period":"year","gross":null,"usd_annual":220000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Multimodal AI","optional":false},{"name":"Python","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-08-05T20:25:39Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-17T07:22:08Z","board_verified":true,"closed_at":null,"days_open":72,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":72},"description":"SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. \nSpaceXSI is building Super Intelligence to understand the universe and help expand humanity’s knowledge and capabilities. We work across the full Super Intelligence stack: compute (Colossus supercomputers), models (Grok), and applications (Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X). We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.\nABOUT THE ROLE:\nYou will ensure engineering teams get the right data they need-high-quality tasks and evaluations-by crafting and executing high-value Human Data projects. You sit at the intersection of engineering and data operations: partnering with model teams, designing projects that capture meaningful signals, and driving data yield and eval lift. This is a hands-on technical role for engineers who deeply understand training and evaluation and want to influence data strategy.\nRESPONSIBILITIES:\nPartner with model and engineering teams to understand needs and translate them into high-value data projects and evaluation strategies.\nOwn end-to-end delivery of critical data and eval projects that capture meaningful training signals and support rapid model development.\nBuild tools and systems to measure data effectiveness (data yield, eval lift, usage), and run evaluations yourself to continuously improve quality.\nMaintain rigorous data integrity and truthfulness, including validation processes for factual accuracy; prioritize quality over quantity.\nResearch, implement, and evaluate techniques for data collection, annotation, generation, and multi-modal integration.\nShape Grok’s behavior and domain performance through targeted data work.\nDesign and improve annotation workflows, labeling interfaces, and related tools with a focus on data quality and integrity.\nAct as a liaison between engineering, technical staff, and tutoring / Human Data teams to drive alignment and knowledge sharing.\nCollaborate with Human Data Ops and stakeholders to scale projects, share learnings, and contribute to demand forecasting; report status, insights, and blockers for rapid decisions.\nBASIC QUALIFICATIONS:\nBachelor’s degree in engineering, computer science, or a related STEM discipline, or 4+ years of experience in lieu of a degree\nExperience collaborating with cross-functional teams (engineering, research, product, or annotation/operations groups)\nDemonstrated experience analyzing datasets to identify trends, anomalies, quality issues, or integrity problems\nPREFERRED SKILLS AND EXPERIENCE:\nMaster’s degree or higher in a relevant technical field\nDirect experience curating, evaluating, or improving training or evaluation datasets for large language models or other AI/ML systems\nExperience designing, supporting, or optimizing annotation tools, labeling interfaces, or data workflows that prioritize factual accuracy and data integrity\nFamiliarity with multimodal data (text + images, code, or other modalities) or domain-specific data (science, mathematics, programming, recent events, etc.)\nExperience conducting model or dataset evaluations focused on quality, truthfulness, or alignment with product goals\nExperience in a scripting language like Python\nExperience in SQL or other data analysis tools\nADDITIONAL REQUIREMENTS:\nWeekend work may be required.\nTravel to other SpaceXAI sites may be required.\nCOMPENSATION AND BENEFITS:\n$144,000 - $220,000 USD\nBase salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.\nSpaceXAI is an equal opportunity employer. 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