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Hourly Ai Data Trainer Jobs (NOW HIRING)

Telus Digital

$225K - $255K/yr

Our data annotation capabilities transform raw, ambiguous data into contextually enriched training ... The VP, Commercial - AI Data Solutions, is accountable for the growth, retention, and strategic ...

YO AI Labs

AI Data Scientist - Remote

New York, NY · Remote

Annotate data and support quality assurance initiatives for AI training. * Interpret complex datasets and prepare clear technical reports and summaries. * Collaborate remotely with project teams to ...

IntraEdge

AI Data Engineer

Detroit, MI

$113K - $136K/yr

Automate the training and deployment of AI/ML models into production via APIs and microservices. * Monitor and troubleshoot: Implement data observability tools to monitor pipeline health, identify ...

YO AI Labs

AI Data Scientist - Remote

Manhattan, NY · On-site

$83 - $131/hr

Annotate data and support quality assurance initiatives for AI training. * Interpret complex datasets and prepare clear technical reports and summaries. * Collaborate remotely with project teams to ...

ALTEN Technology USA

Practice Manager - AI & Data

Troy, MI · On-site

$160K - $190K/yr

Training and competency development * Provide line management and leadership to members of the practice including technical leadership across AI and Data * Define skills development objectives for ...

Kforce Technology Staffing

AI/Data Analyst

Riviera Beach, FL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Kforce has a client that is seeking an AI/Data Analyst in Riviera Beach, FL. Summary: The project ... Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a ...

YO AI Labs

AI Data Scientist Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

Annotate data and support quality assurance initiatives for AI training. * Interpret complex datasets and prepare clear technical reports and summaries. * Collaborate remotely with project teams to ...

YO AI Labs

AI Data Scientist Expert - Remote

Austin, TX · Remote

$100 - $200/hr

Annotate data and support quality assurance initiatives for AI training. * Interpret complex datasets and prepare clear technical reports and summaries. * Collaborate remotely with project teams to ...

YO AI Labs

AI Data Scientist Expert - Remote

Chicago, IL · Remote

$100 - $200/hr

Annotate data and support quality assurance initiatives for AI training. * Interpret complex datasets and prepare clear technical reports and summaries. * Collaborate remotely with project teams to ...

YO AI Labs

AI Data Scientist Expert - Remote

Dallas, TX · Remote

$100 - $200/hr

Annotate data and support quality assurance initiatives for AI training. * Interpret complex datasets and prepare clear technical reports and summaries. * Collaborate remotely with project teams to ...

YO AI Labs

AI Data Scientist Expert - Remote

Palo Alto, CA · Remote

$100 - $200/hr

Annotate data and support quality assurance initiatives for AI training. * Interpret complex datasets and prepare clear technical reports and summaries. * Collaborate remotely with project teams to ...

STI

AI Data Architect

$65.25 - $84/hr

AI Data Architect Location: Denver, CO/REMOTE This position is for a remote work environment ... NIST AI Framework training or certification

YO AI Labs

AI Data Scientist Expert - Remote

Boston, MA · On-site

$83 - $124/hr

Annotate data and support quality assurance initiatives for AI training. * Interpret complex datasets and prepare clear technical reports and summaries. * Collaborate remotely with project teams to ...

YO AI Labs

AI Data Scientist Expert - Remote

Atlanta, GA · Remote

$100 - $200/hr

Annotate data and support quality assurance initiatives for AI training. * Interpret complex datasets and prepare clear technical reports and summaries. * Collaborate remotely with project teams to ...

YO AI Labs

AI Data Scientist Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

Annotate data and support quality assurance initiatives for AI training. * Interpret complex datasets and prepare clear technical reports and summaries. * Collaborate remotely with project teams to ...

YO AI Labs

AI Data Scientist Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Annotate data and support quality assurance initiatives for AI training. * Interpret complex datasets and prepare clear technical reports and summaries. * Collaborate remotely with project teams to ...

YO AI Labs

AI Data Scientist Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Annotate data and support quality assurance initiatives for AI training. * Interpret complex datasets and prepare clear technical reports and summaries. * Collaborate remotely with project teams to ...

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Hourly Ai Data Trainer information

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

As of Aug 19, 2026, the average hourly pay for hourly 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 an hourly AI data trainer?

An Hourly AI Data Trainer is a professional who works on a part-time or contract basis to label, annotate, and review data to help train artificial intelligence (AI) models. Their main responsibility is to ensure that data used for machine learning algorithms is accurate, consistent, and well-organized. These trainers might work with text, images, audio, or video data, following detailed guidelines to categorize or tag content appropriately. The role is essential for improving the performance and reliability of AI systems, as well-labeled data is crucial for effective machine learning. Hourly AI Data Trainers often work remotely and may be compensated based on the amount of data processed or time spent working.

What are the key skills and qualifications needed to thrive as an hourly AI data trainer?

To thrive as an Hourly AI Data Trainer, you need strong analytical skills, attention to detail, and a foundational understanding of data annotation or machine learning concepts, often supported by relevant coursework or experience. Familiarity with annotation platforms, data labeling tools, and sometimes basic coding or spreadsheet applications is typically required. Excellent communication, reliability, and the ability to follow detailed guidelines set standout performers apart. These skills ensure high-quality, accurate data labeling, which is critical for training effective AI models.

What are some common challenges faced by hourly AI data trainers, and how can they be managed effectively?

Hourly AI Data Trainers often encounter challenges such as maintaining consistency in data labeling, understanding complex annotation guidelines, and managing repetitive tasks. Staying organized and regularly referring to updated project documentation helps ensure accuracy. Collaborating with team leads and participating in periodic quality reviews can also reduce errors and improve efficiency. Keeping open communication with peers allows for quick clarification of uncertainties, making the work more manageable and productive.

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

AspectHourly Ai Data TrainerData Annotator
Required CredentialsHigh school diploma or equivalent; some roles may prefer technical certificationsHigh school diploma or equivalent; no specialized certifications typically required
Work EnvironmentRemote or on-site, often in tech or AI companiesPrimarily remote or on-site, in data labeling or content moderation settings
Employer & Industry UsageTech companies, AI startups, research institutionsData labeling firms, AI companies, content platforms

While both roles involve working with data, an Hourly Ai Data Trainer focuses on training AI models by providing structured data and feedback, often requiring some technical understanding. A Data Annotator primarily labels or tags data to prepare it for machine learning, with less emphasis on training AI systems. Both roles are essential in AI development but differ in scope and responsibilities.

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Hourly Ai Data Trainer jobs near you
Infographic showing various Hourly Ai Data Trainer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.

VP, Commercial - AI Data Solutions

Telus Digital

On-site, Remote

$225K - $255K/yr

Full-time

Posted 5 days ago

TELUS Digital rating

7.7

Company rating: 7.7 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

98th of 224 rated it services

Job description

Who We Are
Welcome to TELUS Digital, where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS, one of Canada's largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture.
With a global team across North America, South America, Central America, Europe, and APAC, we offer end-to-end expertise across eight core service areas: Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Enterprise Technology, Enterprise Applications, Cloud Engineering, and QA & Test Engineering.
From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are, all backed by the secure infrastructure and scale of our multi-billion-dollar parent company.
Location & Flexibility
This role can operate remotely within the US (we are prioritizing candidates based on the US West Coast) OR be based out of one of our major US office locations - Charlottesville, VA, Durham, NC, Columbus, OH, or Boston, MA.
The Opportunity
TELUS Digital is seeking an enterprising Vice President of Commercial, AI Data Solutions, to own the commercial growth of our AI Data Training practice. This is a pure commercial leadership role responsible for acquiring, expanding, and retaining strategic relationships with the world's leading AGI and Generative AI builders. The VP will serve as the primary revenue driver and executive face of the business to clients.
Our service offerings span the breadth of what modern AI development demands. On the Generative AI side, we partner with clients to build human-aligned datasets for fine-tuning and evaluating large language models, supporting workflows including Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), red teaming, and bespoke dataset creation across more than 20 domains and 100 languages. For data collection, we leverage a global AI Community of over one million contributors to deliver fully managed, multimodal datasets spanning text, audio, video, image, geo, and 3D data at any scale and complexity. Our data annotation capabilities transform raw, ambiguous data into contextually enriched training assets through advanced labeling services covering image and video, audio, text, and 3D sensor fusion. We also provide rigorous data validation services, ensuring datasets are accurate, relevant, and production-ready through offerings such as search evaluation, ad evaluation, geo-location data verification, and machine translation quality assessment. Rounding out our portfolio, we offer a library of off-the-shelf datasets purpose-built for training and evaluating LLMs, computer vision models, and audio AI systems, providing clients with accessible, cost-effective solutions ready for immediate integration.
The VP, Commercial - AI Data Solutions, is accountable for the growth, retention, and strategic direction of TELUS Digital's AI Data Training client portfolio. The successful candidate will build trusted partnerships with leading AGI and GenAI companies, delivering the high-quality human feedback, data annotation, evaluation, and RLHF services that power next-generation AI systems.
Responsibilities
Revenue Growth & Account Expansion
  • Own year-over-year revenue growth across the AI Data Solutions client portfolio, setting and delivering against ambitious commercial targets.
  • Grow wallet share within existing accounts by transitioning clients from discrete data task engagements to comprehensive, long-term AI data partnerships.
  • Identify and pursue new business opportunities within existing client organizations, expanding across AI research, product, safety, and engineering business units.
  • Develop and execute account-level commercial strategies and roadmaps that drive measurable revenue outcomes and position TELUS Digital as a preferred AI data partner.
Strategic Client Relationship Management
  • Build and own trusted, consultative C-suite and senior leader relationships across client AI labs, foundation model teams, and GenAI product organizations.
  • Serve as the executive sponsor and primary point of escalation for strategic accounts, ensuring client confidence and long-term retention.
  • Actively shape the future direction of client AI programs, positioning TELUS Digital as a thought leader and strategic advisor, not just a service provider.
  • Negotiate commercial agreements, renewals, and expansions that reflect the value delivered and support long-term partnership growth.
Market Positioning & Commercial Strategy
  • Develop deep knowledge of the AGI and GenAI builder landscape, tracking competitive dynamics, emerging client needs, and new data training modalities to inform commercial strategy.
  • Partner with internal delivery, solutions, and marketing teams to shape compelling value propositions, proposals, and go-to-market narratives for the AI data services portfolio.
  • Represent TELUS Digital at industry forums, AI conferences, and client events to build brand presence and develop new commercial relationships.
  • Feed market intelligence back into the business to influence service development, pricing strategy, and competitive positioning.
Commercial Leadership & Financial Accountability
  • Own the commercial P&L for the AI Data Solutions portfolio, managing revenue forecasts, pipeline, and commercial budget aligned to corporate growth objectives.
  • Lead and develop a team of Client Success professionals accountable for client retention, growth, and escalation management.
  • Collaborate with finance and operations leadership to ensure commercial commitments are commercially sound and deliverable.

Competencies
  • Minimum 10 years in enterprise sales, account management, or client success roles, with 2-3 years at the VP level or equivalent in a commercially accountable capacity.
  • Direct experience selling to or partnering with AI labs, foundation model companies, or technology companies building AI-powered products is strongly preferred.
  • Demonstrated history of meeting or exceeding revenue targets and growing strategic enterprise accounts in a competitive outsourced or professional services environment.
  • Experience leading client-facing commercial teams, including hiring, coaching, and performance management of client success or account management professionals.
  • AI market fluency: credible understanding of the AGI and GenAI builder ecosystem, including how AI labs consume data training services, what drives their build vs. buy decisions, and the competitive landscape for AI data providers.
  • Enterprise sales & alliance management: proven track record of growing large, complex enterprise accounts moving from vendor to strategic partner through consultative selling, executive relationship development, and disciplined pipeline management.
  • Financial & commercial acumen: ability to own a commercial P&L, build revenue forecasts, structure deals, and make sound financial decisions that drive sustainable growth and protect margin.
  • Executive presence & communication: demonstrated ability to forge trusted relationships with C-suite and senior executives at global technology companies, inspiring confidence as a peer, not a vendor.
  • Global commercial leadership: ability to lead client success teams in a matrixed, international environment, motivating commercially focused professionals across geographies and time zones.
  • Agility in a fast-moving market: comfortable operating at AI speed, adapting commercial strategies quickly as client needs, competitive dynamics, and the broader AI landscape shift.

Equal Opportunity Employer
At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants' qualifications, merits, competence, and performance without regard to any characteristic related to diversity.
We will only use the information you provide to process your application and to produce tracking statistics. Since we do not request personal data deemed sensitive, we ask you to abstain from sharing that information with us.
For more information on how we use your information, see our Privacy Policy

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