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Contract Ai Data Trainer Jobs (NOW HIRING)

YO AI Labs

AI Data Trainer - Remote

New York, NY · Remote

Remote Role Overview We are looking for Generalists with strong analytical and critical-thinking skills to support AI and data-focused projects. The role involves reviewing, evaluating, and ...

micro1 AI

AI Data Trainer - MS Suite - Remote

Omaha, NE · Remote

$35 - $50/hr

... proposals, or data-driven reporting, tailored to your industry background. * Document findings and provide actionable feedback to inform the ongoing development of AI systems for business ...

micro1 AI

AI Data Trainer - MS Suite - Remote

Denver, CO · Remote

$35 - $50/hr

... proposals, or data-driven reporting, tailored to your industry background. * Document findings and provide actionable feedback to inform the ongoing development of AI systems for business ...

micro1 AI

AI Data Trainer - MS Suite - Remote

Boston, MA · Remote

$35 - $50/hr

... proposals, or data-driven reporting, tailored to your industry background. * Document findings and provide actionable feedback to inform the ongoing development of AI systems for business ...

micro1 AI

AI Data Trainer - MS Suite - Remote

Mesa, AZ · Remote

$35 - $50/hr

... proposals, or data-driven reporting, tailored to your industry background. * Document findings and provide actionable feedback to inform the ongoing development of AI systems for business ...

micro1 AI

AI Data Trainer - MS Suite - Remote

Tampa, FL · Remote

$35 - $50/hr

... proposals, or data-driven reporting, tailored to your industry background. * Document findings and provide actionable feedback to inform the ongoing development of AI systems for business ...

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How much do contract ai data trainer jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for contract ai data trainer in the United States is $31.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $35.58 per hour, depending on experience, location, and employer.

What is a contract AI data trainer?

Contract AI Data Trainers are professionals hired on a contractual basis to label, annotate, or curate data used to train artificial intelligence and machine learning models. They help ensure that data sets are accurate, organized, and properly categorized, which is essential for developing effective AI systems. The work can involve text, images, audio, or other data types, and often requires attention to detail and adherence to specific guidelines. Contract AI Data Trainers may work remotely or onsite, and their contracts may vary in length depending on project needs.

What are some common challenges faced by contract AI data trainers when working with diverse datasets?

Contract AI Data Trainers often work with a wide range of datasets, which can vary greatly in quality, format, and subject matter. One common challenge is ensuring consistency and accuracy in data labeling across different projects, especially when guidelines or expectations shift between clients. Additionally, trainers may encounter ambiguous data or unclear instructions, requiring strong communication with project managers and other team members to resolve uncertainties. Staying up to date with evolving best practices in data annotation and collaborating effectively in remote or distributed teams are also important aspects of the role.

What are the key skills and qualifications needed to thrive as a contract AI data trainer, and why are they important?

To thrive as a Contract AI Data Trainer, you need strong analytical abilities, attention to detail, and a solid understanding of data labeling and AI concepts, often supported by experience in data annotation or a related field. Familiarity with annotation tools like Labelbox, SuperAnnotate, or Prodigy, as well as basic knowledge of machine learning platforms and data management systems, is typically required. Excellent communication, time management, and adaptability are important soft skills for working with diverse teams and handling variable project requirements. These skills ensure the delivery of high-quality, accurately labeled datasets that are essential for effective AI model training and performance.

What is the difference between Contract Ai Data Trainer vs Data Annotator?

AspectContract Ai Data TrainerData Annotator
CredentialsBasic technical skills, training in AI conceptsMinimal formal credentials, training often provided
Work EnvironmentRemote or on-site, collaborative with AI teamsRemote or on-site, focused on labeling data
Industry UsageUsed in AI development, machine learning projectsUsed in data preparation, dataset creation

Contract Ai Data Trainers and Data Annotators both work with data, but the Trainer focuses on guiding AI models through training and feedback, while Annotators primarily label data. The Trainer typically requires some technical knowledge and works closely with AI teams, whereas Annotators focus on data labeling tasks. Both roles are essential in AI development, but their responsibilities and skill requirements differ.

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Contract Ai Data Trainer jobs near you
Infographic showing various Contract Ai Data Trainer job openings in the United States as of September 2026, with employment types broken down into 49% Full Time, 14% Part Time, 6% Temporary, and 31% Contract. Highlights an 71% In-person, 3% Hybrid, and 26% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.

Contract AI Data Engineer

Chicago, IL • On-site

Jet Support Services, Inc.
Aviation • 51 - 200 employees
Learn more about Jet Support Services, Inc.external

$118K - $141K/yr

Contractor

Posted 19 days ago

Job description

About JSSI
Founded in 1989 and headquartered in Chicago, Jet Support Services, Inc. (JSSI) is the largest independent provider of hourly cost maintenance programs for business aviation. JSSI delivers comprehensive coverage for engines, airframes, and auxiliary power units (APUs) across more than 300 different aircraft makes and models, helping owners and operators stabilize maintenance budgets, maximize aircraft availability, and protect asset value throughout the lifecycle of ownership. JSSI has built a portfolio of complementary business lines designed to simplify the economic and technical complexity of business aviation; these include Maintenance teams, Traxxall maintenance tracking software, Parts & Engines, Conklin aircraft cost and performance data, and Aviation Capital asset-based financing solutions. Together, these offerings support owners, operators, and maintenance providers with integrated tools spanning ownership and maintenance planning, execution, and financial management. With more than 6,500 aircraft supported through programs and software platforms, JSSI leverages its unique independence, unmatched scale, and data-driven insight to deliver customized solutions and support models aligned to the interests of each client - regardless of aircraft platform. JSSI is backed by leading institutional investors GTCR, Genstar Capital, and Blackstone. Learn more at jetsupport.com.
JSSI is building an AI-first data platform, and the AI Data Engineer is the person who builds and owns it. You are the platform owner - responsible for the pipelines, the lakehouse, and the governed datasets that make AI and analytics possible across every JSSI business unit.
This is a hands-on, individual contributor role. You will design and build the data infrastructure that AI agents depend on, ensure data quality and governance are production-grade, and work at the intersection of data engineering and AI delivery. You will use Claude Code to build pipelines against JSSI standards and be a core part of how the organization accelerates.
Responsibilities
Own the data platform
  • Own Bronze / Silver / Gold pipelines in Microsoft Fabric and OneLake
  • Model governed semantic layers; serve Power BI via Direct Lake
  • Ingest business-unit data into Fabric & Azure SQL with quality and lineage controls
  • Enforce data governance, security, and PII handling aligned to Entra ID
  • Expose curated datasets to AI agents through approved MCP servers only
  • Use Claude Code to build pipelines against JSSI standards; review and validate all AI-generated code before it ships
  • Orchestrate, monitor, and optimize pipelines for reliability, performance, and Fabric capacity (CU) cost
  • Manage Git-based version control and Fabric deployment pipelines across dev / test / prod

Support reporting and ad-hoc requests
  • Handle ad-hoc requests (report enhancements and fixes, and dataset enhancements and fixes) across Microsoft Fabric and Power BI
  • Build and maintain paginated (operational) reports
  • Write, debug, and tune SQL for reporting, data investigation, and fixes
  • Use Claude Code to investigate and diagnose platform, data-quality, and reporting issues, tracing root cause across pipelines, lake house tables, and semantic models before drafting a validated fix
  • Support and optimize Power BI semantic models and DAX for downstream consumers

Requirements
Required
  • Hands-on experience building and maintaining data pipelines in Microsoft Fabric, including Lakehouse architecture and OneLake
  • Proficiency with Bronze / Silver / Gold medallion architecture and semantic layer modeling
  • Experience with Azure SQL, ADLS Gen2, and data ingestion across multiple source systems
  • Understanding of data governance, security, and PII handling practices, including Entra ID alignment
  • Experience exposing data products via APIs or MCP-style interfaces for downstream AI or analytics consumption
  • Active use of AI coding tools (such as Claude Code) as part of your development workflow - not aspirational, but current practice

Strongly preferred
  • Experience building data infrastructure specifically to support AI agents, ML models, or agentic pipelines
  • Familiarity with Power BI and Direct Lake connectivity
  • Experience working within engineering standards, documentation-first workflows, and structured code review practices
  • Exposure to MCP (Model Context Protocol) servers or similar AI data access patterns

Not required
  • People management experience - this is an individual contributor role
  • Aviation or MRO domain knowledge - curiosity and the ability to learn the business context matters more than knowing it on day one

WHO THRIVES IN THIS ROLE
This role is a great fit for someone who takes genuine ownership of data infrastructure - not just someone who builds pipelines when tickets arrive, but someone who thinks about the platform as a product with real consumers. You are already using AI tools to write and ship code faster. You care about data quality as a first principle, not a nice-to-have. And you want to be part of building something that directly enables the AI-first future of a company, not supporting a legacy stack.
JSSI is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or other characteristic protected by law.
JSSI does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or Recruiting Team.

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