{"id":1606518,"url":"https://alion.io/job/innodata-ai-solutions-engineer","title":"AI Solutions Engineer","company":{"id":48089,"name":"Innodata","domain":"innodata.com","url":"https://alion.io/company/innodata","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":100,"open_postings":8,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":59,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Washington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":126000,"max_usd":248000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":914},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anthropic","optional":false},{"name":"Apache NiFi","optional":false},{"name":"Computer Vision","optional":false},{"name":"Databricks","optional":false},{"name":"DLP","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Synthetic Data","optional":false},{"name":"CVAT","optional":true}],"status":"live","first_seen_at":"2026-07-09T20:59:02Z","employer_posted_date":"2026-07-10","last_verified_at":"2026-10-15T17:03:02Z","board_verified":true,"closed_at":null,"days_open":97,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":97},"description":"Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\nAbout the Program: \nInnodata's Federal Practice builds the trusted data layer for critical infrastructure Trust & Safety work. Partnering with a leading systems integrator, we're delivering a modern, governed data services platform in a secure federal (IL4) environment. Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities.\nAbout the Role: \nAs the AI Solutions Engineer, you'll bring the platform's AI capabilities to life. You'll integrate synthetic data generation into the pipeline, stand up and tune the annotation toolchain, and orchestrate reproducible ML workflows that the rest of the team can build on. You'll partner with the Solution Architect and Data/Annotation Engineer to turn raw corpora into high-quality, model-ready data. This role suits an engineer who's fluent across modern AI tooling and enjoys making sophisticated ML infrastructure actually work in production.\nKey Responsibilities:\nConfigure and validate native AI-assistive features across bundled platform components (Dataset Explorer, DataCard Service, Annotation Platform)\nIntegrate and tune SAM 2 for full-motion video annotation: object tracking, segmentation calibration, confidence threshold configuration\nImplement Frontier model API integration for synthetic data fidelity validation: prompt engineering, response validation, quality scoring\nConfigure AI-assisted annotation features: confidence scoring, auto-escalation triggers, model-assisted label suggestion\nImplement ICAM / OIDC authentication integration with AFS identity framework\nConfigure data-layer DLP policies above the AFS-managed DLP infrastructure substrate\nConfigure NiFi FMV codec validation layer (H.264, H.265, MPEG-4) above AFS-managed substrate\nValidate AI feature integration end-to-end across storefront, annotation platform, and DataCard write-back during Phase C\nMust-Have Qualifications:\nBachelor's degree in Computer Science, Machine Learning, Data Science, or related field required; Master's degree preferred. Equivalent experience may substitute for degree on a 2-for-1 basis.\n6+ years total professional experience, 4+ years hands-on AI/ML engineering\nSAM 2 or equivalent foundation model integration for computer vision or video annotation\nFrontier model API integration (OpenAI, Anthropic, or equivalent): async job management, quality validation pipelines\nPython - strong, production-grade; comfortable with ML tooling and data pipeline development\nExperience configuring AI-assistive features in annotation platforms or ML data tooling\nActive Secret clearance with TS/SCI eligibility\nNice-to-Have Qualifications:\nCVAT annotation platform - AI feature configuration and operation\nDoD or IC data program experience: CUI, distribution statements, federal data governance\nEvaluation design for AI/ML training data: IAA methodology, drift detection, model performance measurement\nVideo understanding or FMV annotation experience\nDataCard or ML data provenance framework familiarity\nThe expected hourly salary range for this position is $75 to $80 p/hour, based on experience, skills, and qualifications.\nNote to Candidates: \nThis role does not own infrastructure deployment. The AI Solutions Engineer operates at the AI/ML configuration and integration layer above the infrastructure. Ideal candidate is equally comfortable writing Python integration code and reasoning about model quality - and understands that in a federal data environment, every AI decision needs an audit trail.\nPlease be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. \nIf you believe you’ve been targeted by a recruitment scam, please report it to Innodata at  and consider reporting it to the FTC at ReportFraud.ftc.gov.","description_format":"text","description_chars":4736,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":true,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Data Entry & Processing","AI Training Data & Annotation"],"lifecycle":[{"event":"open","at":"2026-10-01T19:52:38Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 2","filings_12m":2,"filings_prev_12m":2,"green_card_filings_12m":0,"median_offered_wage_usd":150000,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":22,"band":"cold","label":"Long shot","p_open":1,"p_active":0.605,"p_room":0.36,"age_days":97,"expected_fill_days":59,"reasons":["conf:4","velocity","win:tail","crowd:"],"computed_at":"2026-10-15T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/innodata-ai-solutions-engineer","json_url":"https://alion.io/job/innodata-ai-solutions-engineer.json","meta":{"generated_at":"2026-10-15T17:31:41Z","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":26538,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"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":48089},"rest":"https://alion.io/mcp/rest/get_company?id=48089"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Finnodata-ai-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%2Finnodata-ai-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%2Finnodata-ai-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/innodata-ai-solutions-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Finnodata-ai-solutions-engineer"}]}