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Entry Level Ai Data Trainer Jobs (NOW HIRING)

Machine Learning Engineer - AI Data Trainer * Location: Remote About the job At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models.

AI Data Engineer

$170K - $180K/yr

AI Data Engineer- HealthTech AI Up to $180,000 | U.S (Remote) | Full-Time Deeprec.ai is partnering ... Design efficient data structures and schemas for model training and use. * Source new data while ...

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 ...

Salary: $50,000 to $90,000 AI Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 $90,000 | Entry-Level / 02 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent ...

AI Data Engineer

Provo, UT · On-site

$50K - $90K/yr

AI Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that execute ...

AI Data Engineer

Provo, UT

$109K - $131K/yr

AI Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that execute ...

Position Overview As a Junior AI Data Scientist, you will support business areas including ... We are a rapidly growing brand and provide a variety of training and development opportunities so ...

AI & Data - Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

AI & Data - Data Engineer Location: Seattle, WA 98109 Duration: 07 months * Ingest and process data ... Design simple, reusable data models to support training and inference. * Implement data quality ...

Remote AI Data Architect - Public Sector Location: Preferably Colorado Duration: 6 months We are ... NIST AI Framework training or certification. * Residency in Colorado is preferred. Join us to shape ...

AI Data Engineer

Spring, TX · On-site

$96K - $116K/yr

Collaborate with data modelers to prepare and optimize datasets for AI model training and inference. * Design and implement data pipelines that support AI/ML workflows, including feature engineering ...

AI & Data - Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

... training and inference. • Implement data quality tests, documentation, and lineage in DBT • ... AI/Data Science) team to provide feature ready datasets. Qualifications : Required : • Hands-on ...

AI / Data Engineer

Huntsville, AL · On-site

$112K - $135K/yr

Support training, tuning, evaluation, and validation of AI or machine learning models using enterprise data while ensuring outputs remain defensible, explainable, and aligned to approved ...

AI / Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Support training, tuning, evaluation, and validation of AI or machine learning models using enterprise data while ensuring outputs remain defensible, explainable, and aligned to approved ...

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Entry Level Ai Data Trainer information

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$13

$31

$63

How much do entry level ai data trainer jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for entry level 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 types of tasks and collaboration can I expect as an Entry Level AI Data Trainer?

As an Entry Level AI Data Trainer, you will primarily be responsible for labeling, annotating, and curating data sets to help improve machine learning models. Your daily tasks often include reviewing text, images, or audio and providing accurate labels according to detailed guidelines. You will frequently collaborate with data scientists, engineers, and other trainers to ensure consistency and quality in the data. This collaborative environment offers valuable exposure to the AI development process, and high performers often have opportunities to advance into more specialized roles over time.

What is the difference between Entry Level Ai Data Trainer vs Data Annotator?

AspectEntry Level Ai Data TrainerData Annotator
Required CredentialsHigh school diploma or equivalent; some roles prefer basic technical skillsHigh school diploma or equivalent; no specialized certifications typically needed
Work EnvironmentOffice or remote; collaborative with AI teamsOffice or remote; focused on labeling data
Employer & Industry UsageTech companies, AI startups, research labsTech companies, data labeling services, AI firms

While both roles involve working with data, Entry Level Ai Data Trainers focus on training AI models by providing structured data and feedback, often requiring some technical understanding. Data Annotators primarily label and categorize data to prepare datasets for AI training. The roles are similar in work environment and industry but differ in responsibilities and skill requirements.

What are the key skills and qualifications needed to thrive as an Entry Level AI Data Trainer, and why are they important?

To thrive as an Entry Level AI Data Trainer, you need strong analytical skills, attention to detail, and a foundational understanding of data annotation processes, often supported by a bachelor's degree in a related field. Familiarity with data labeling tools, content management systems, and basic programming or scripting (such as Python) is typically required. Excellent communication, teamwork, and adaptability help you effectively interpret guidelines and collaborate with cross-functional teams. These skills ensure high-quality data preparation, which is essential for developing accurate and reliable AI models.

What does an Entry Level AI Data Trainer do?

An Entry Level AI Data Trainer is responsible for preparing, labeling, and organizing data that is used to train artificial intelligence models. This involves tasks such as categorizing images, annotating text, and ensuring that data is accurate and relevant for machine learning algorithms. They work closely with data scientists and engineers to improve the quality of AI systems by providing clean and well-labeled datasets. The role is a great way to start a career in artificial intelligence, as it offers hands-on experience with data and insights into how AI models are developed.
More about Entry Level Ai Data Trainer jobs
What cities are hiring for Entry Level Ai Data Trainer jobs? Cities with the most Entry Level Ai Data Trainer job openings:
What are the most commonly searched types of Ai Data Trainer jobs? The most popular types of Ai Data Trainer jobs are:
What states have the most Entry Level Ai Data Trainer jobs? States with the most job openings for Entry Level Ai Data Trainer jobs include:
Infographic showing various Entry Level Ai Data Trainer job openings in the United States as of May 2026, with employment types broken down into 3% Internship, 62% Full Time, 16% Part Time, and 19% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.

Machine Learning Engineer

Alignerr

Denver, CO • Remote

$50 - $70/hr

Other

Posted 4 days ago


Job description

Machine Learning Engineer - AI Data Trainer
  • Location: Remote
About the job
At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models.
This initiative focuses on recording how an AI reasons and executes actions sequentially to handle practical assignments. Specialists draft precise, organized logs demonstrating strategizing, tool implementation, and choice-making, producing the data required to teach models to solve problems consistently in actual environments.
Organization
: Alignerr
Position
: Machine Learning Engineer - AI Data Trainer
Type
: Hourly Contract
Compensation
: $50-$70 /hour
Location
: Remote
Commitment
: 10-40 hours/week
What You'll Do:
  • Draft precise, organized logical logs for sophisticated technical challenges.
  • Record sequential strategizing and choice-making workflows.
  • Generate training datasets that illustrate proficient tool interaction for AI models.
Requirements:
  • Professional expertise in Machine Learning, Engineering, or a technical discipline.
  • Superb skill in explaining intricate logical processes and methodologies clearly.
  • Critical thinking skills to audit and refine AI-generated reasoning steps.
  • Master's Degree or PhD
Preferred
:
  • Prior experience with data annotation, data quality, or evaluation systems.
  • Master's Degree or PhD
Why Join Us:
  • Competitive pay and flexible remote work.
  • Collaborate with a team working on cutting-edge AI projects.
  • Exposure to advanced LLMs and how they're trained.
  • Freelance perks: autonomy, flexibility, and global collaboration.
  • Potential for contract extension.
Application Process (Takes 15-20 min)
  • Submit your resume
  • Complete a short screening
  • Project matching and onboarding

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.