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Entry Level Ai Data Trainer Jobs (NOW HIRING)

AI / Data Engineer

Mclean, VA · On-site

$115K - $139K/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

Fort Collins, CO · On-site

$113K - $136K/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

Boston, MA · On-site +1

$124K - $149K/yr

... training and refinement Key Responsibilities * Collaborate with data scientists and machine ... Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If ...

OR · On-site

$114K - $137K/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

New York, NY · Remote

$117K - $140K/yr

... training and refinement Key Responsibilities * Collaborate with data scientists and machine ... Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If ...

AI Data Engineer

Boston, MA · Remote

$117K - $140K/yr

... training and refinement Key Responsibilities * Collaborate with data scientists and machine ... Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If ...

AI Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

... training and refinement Key Responsibilities * Collaborate with data scientists and machine ... Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If ...

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

... training and refinement Key Responsibilities * Collaborate with data scientists and machine ... Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If ...

AI Data Engineer Stf

Fort Worth, TX · On-site

$109K - $131K/yr

... training, feature stores, modelready data delivery). Key Responsibilities Design, build, and maintain secure data pipelines for classified AI/ML workloads Design and implement ontology-driven data ...

AI Data Engineer Staff

Fort Worth, TX

$109K - $131K/yr

... model training, feature stores, modelready data delivery). Key Responsibilities Design, develop, test and execute data engineering principles such in SAP HANA, BODS. Design, build, and maintain ...

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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.

AI / Data Engineer

Guidehouse

Mclean, VA • On-site

$115K - $139K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 18 days ago


Guidehouse rating

7.5

Company rating: 7.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

37th of 57 rated business consultants


Job description

Job Family:

Data Science Consulting


Travel Required:

Up to 25%


Clearance Required:

Active Secret

Guidehouse is seeking an AI Engineer to support the design, development, validation, and deployment of production-grade AI-enabled applications for DoW Federal clients. This role will translate operational workflows, mission needs, and enterprise data assets into secure, scalable, and reliable AI systems.

The AI Engineer will work closely with functional SMEs, architects, data scientists, product managers, and technical delivery teams to build AI-enabled applications, retrieval workflows, evaluation frameworks, and decision-support capabilities. This role is focused on delivering working systems, not research prototypes, and must support explainable, auditable, and operationally reliable AI outputs in regulated and mission-sensitive environments.

What You Will Do

  • Design, build, and deploy AI-enabled applications that support real operational workflows and decision-making for DoW, federal, and enterprise environments.

  • Develop application logic that integrates AI models, APIs, data pipelines, user interfaces, and enterprise systems.

  • Implement retrieval-augmented generation, semantic search, embeddings, vector databases, prompt strategies, and agent-based workflows where appropriate.

  • Integrate structured and unstructured enterprise data sources into AI-enabled applications.

  • Build orchestration workflows that connect foundation models, machine learning services, tools, APIs, and secure enterprise environments.

  • Develop evaluation frameworks to measure AI output quality, grounding, accuracy, traceability, and failure modes.

  • Implement guardrails, validation checks, fallback logic, and human-in-the-loop review points to support reliable AI behavior.

  • 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 methodologies.

  • Develop secure APIs, backend services, dashboards, visualizations, and integration components for AI-enabled analytic tools and decision-support platforms.

  • Implement monitoring, logging, observability, model performance tracking, and cost controls for AI systems in operation.

  • Advise on model transparency, explainability, auditability, data governance, information assurance, and access controls required for secure DoW and federal deployment.

  • Collaborate with functional SMEs to translate business needs, mission requirements, workflow requirements, review expectations, and operational constraints into technical requirements.

  • Contribute reusable AI components, accelerators, reference architectures, and delivery patterns for future enterprise and federal AI implementations.

  • Support demonstrations, pilots, proofs of value, testing, deployment readiness, and user acceptance activities with internal and client stakeholders.

What You Will Need

  • US Citizenship Required

  • An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance.

  • Bachelor's degree obtained or equivalent practical experience.

  • Experience designing, building, or deploying AI-enabled applications, analytic tools, decision-support systems, or machine learning solutions.

  • Strong software engineering fundamentals, including APIs, backend services, data pipelines, system integration, and production deployment practices.

  • Applied experience with machine learning, generative AI, large language models, retrieval-augmented generation, embeddings, vector databases, semantic search, or prompt engineering.

  • Experience deploying applications or analytic services in cloud or enterprise environments using CI/CD, version control, testing, and secure development practices.

What Would Be Nice To Have

  • Experience supporting DoW, federal, national security, or large enterprise technology modernization programs.

  • Experience developing or deploying AI-enabled applications in secure DoW or federal cloud environments.

  • Experience with AI-enabled analytics, predictive modeling, forecasting, scenario analysis, workflow automation, or decision-support platforms.

  • Experience implementing model transparency, explainability, auditability, and traceability controls for AI-generated recommendations or analytic outputs.

  • Experience designing dashboards, visualizations, or user-facing applications for complex analytical workflows.

  • Understanding of information assurance, cybersecurity, access controls, and secure deployment considerations for DoW, federal, or enterprise environments.

  • Experience with Python, FastAPI, LangChain, LlamaIndex, Azure AI, AWS, Databricks, Snowflake, vector databases, containerized deployments, or related AI engineering tools.

  • Experience contributing reusable components, accelerators, or reference architectures for enterprise AI delivery.

  • Prior experience supporting demonstrations, pilots, proofs of value, testing, deployment readiness, or user acceptance activities with DoW or federal client stakeholders.

  • Ability to move AI solutions from concept or prototype into production-ready services.

  • Understanding of evaluation approaches for AI systems, including accuracy testing, grounding, validation, failure analysis, and human review workflows.

  • Familiarity with data quality challenges, structured and unstructured data integration, and enterprise data governance.

  • Ability to communicate technical concepts clearly to functional SMEs, product owners, architects, and non-technical stakeholders.

  • Strong structured problem-solving skills and ability to design systems that are reliable, explainable, secure, and operationally usable.

  • Comfort operating in regulated, audit-sensitive, federal, or DoW environments.

Estimated Support Level

Full-time support, approximately 1.0 FTE during solution design, data integration, AI application development, evaluation, testing, deployment, and user acceptance. Support level may flex based on delivery phase, with heavier involvement during architecture, build, evaluation, and production readiness activities.

The annual salary range for this position is $106,000.00-$176,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Position may be eligible for a discretionary variable incentive bonus

  • Parental Leave and Adoption Assistance

  • 401(k) Retirement Plan

  • Basic Life & Supplemental Life

  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

  • Short-Term & Long-Term Disability

  • Student Loan PayDown

  • Tuition Reimbursement, Personal Development & Learning Opportunities

  • Skills Development & Certifications

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Emergency Back-Up Childcare Program

  • Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.


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