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Entry Level Ai Data Rater Jobs (NOW HIRING)

Worky

Entry-Level AI Software Engineer

Mclean, VA · On-site

$90K - $110K/yr

With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and ... Position Summary Credence is seeking a highly motivated Entry-Level AI Software Engineer to join ...

SC Works Trident

Data Scientist /data analyst entry level /AI /software programmer(Remote) Occupation: Data Scientists Location: Savannah, GA - 31401 Job Type: Full Time (30 Hours or More) Posted: 03/23/2026 ...

Credence

Entry-Level AI Software Engineer

Mclean, VA · On-site

$90K - $110K/yr

With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and ... Position Summary Credence is seeking a highly motivated Entry-Level AI Software Engineer to join ...

Credence

Entry-Level AI Software Engineer

Mclean, VA · On-site

$90K - $110K/yr

With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and ... Position Summary Credence is seeking a highly motivated Entry-Level AI Software Engineer to join ...

Credence

Entry-Level AI Software Engineer

Mclean, VA · On-site

$90K - $110K/yr

With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and ... Position Summary Credence has an immediate need for a highly motivated Entry-Level AI Software ...

Credence

Entry-Level AI Software Engineer

Mclean, VA · On-site

$90K - $110K/yr

With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and ... Position Summary Credence is seeking a highly motivated Entry-Level AI Software Engineer to join ...

Atonom

AI Data Engineer

Provo, UT · On-site

$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 ...

Atonom

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 ...

Atonom

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 ...

Feed Energy

AI & Data Intern

Pleasant Hill, IA · On-site

$25/hr

... rates above 95%. Depending on timing and data infrastructure, top performers may have the ... Testing and validating AI solutions * Help design and document data pipelines and workflows

Feed Energy

AI & Data Intern

Pleasant Hill, IA · On-site

$25/hr

... rates above 95%. Depending on timing and data infrastructure, top performers may have the ... Testing and validating AI solutions * Help design and document data pipelines and workflows

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

As of Sep 14, 2026, the average hourly pay for entry level ai data rater in the United States is $19.05, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $21.39 per hour, depending on experience, location, and employer.

What is an entry level AI data rater?

An Entry Level AI Data Rater is a professional who evaluates, labels, and rates data—such as text, images, or search results—to help improve artificial intelligence systems. Their work ensures that AI models can better understand and process human language and behavior. This role typically involves following specific guidelines to assess the accuracy and relevance of data, providing valuable feedback that helps train machine learning algorithms. Entry level positions usually require attention to detail, basic computer skills, and the ability to follow instructions closely.

What are the key skills and qualifications needed to thrive as an entry level AI data rater?

To thrive as an Entry Level AI Data Rater, you need strong analytical skills, attention to detail, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with web browsers, online research tools, and proprietary rating platforms is typically required; some roles may also ask for knowledge of specific guidelines or quality assurance systems. Excellent communication, critical thinking, and time management are crucial soft skills for interpreting data and meeting productivity targets. These competencies ensure accurate data labeling and evaluation, directly impacting the quality of AI training and system performance.

What are the most common challenges faced by entry level AI data raters, and how can they be addressed?

One of the most common challenges for Entry Level AI Data Raters is maintaining consistency and accuracy when evaluating large volumes of data. Since the work often involves repetitive tasks and adhering to detailed guidelines, it can be easy to overlook small errors or become fatigued. To overcome this, it's helpful to take regular breaks, stay organized, and continually review the provided instructions. Collaborating with team leads or peers to clarify uncertainties can also improve performance and ensure high-quality results.

What is the difference between Entry Level Ai Data Rater vs Data Labeler?

AspectEntry Level Ai Data RaterData Labeler
Required CredentialsHigh school diploma or equivalent; no specialized certification often neededHigh school diploma or equivalent; may require basic training
Work EnvironmentRemote or office-based; working with AI datasetsRemote or on-site; labeling data for machine learning models
Employer & Industry UsageTech companies, AI startups, data annotation firmsTech companies, data annotation services, AI development firms

Both roles involve working with data to improve AI systems, but Entry Level Ai Data Raters often focus on evaluating AI outputs, while Data Labelers primarily annotate data. The roles are similar in credentials and work environment, with slight differences in job focus.

Can I get an entry level AI data rater job with no experience?

Entry level AI data rater positions typically do not require prior experience, as they focus on evaluating and labeling data to improve AI models. Basic computer skills, attention to detail, and the ability to follow guidelines are usually sufficient to qualify for these roles. Some employers may provide training or onboarding to new hires.
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Entry Level Ai Data Rater jobs near you
Infographic showing various Entry Level Ai Data Rater job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $39,629 per year, or $19.1 per hour.

Entry-Level AI Software Engineer

Mclean, VA • On-site

Worky
See more jobs at Workyexternal

$90K - $110K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

Overview

Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose.

We’ve been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges.

Position Summary

Credence is seeking a highly motivated Entry-Level AI Software Engineer to join our growing technology team. This is an exciting opportunity for a recent graduate or early-career professional who is passionate about artificial intelligence, software engineering, and emerging technologies.

In this role, you will work under the mentorship of senior engineers and AI practitioners to support the design, development, testing, and deployment of software and AI-driven solutions. You will gain hands‑on experience with modern development tools, cloud technologies, data platforms, and machine learning concepts while contributing to mission‑focused federal technology programs.

This role is ideal for individuals who are eager to learn, solve complex problems, and build innovative solutions that create measurable impact.

Responsibilities include, but are not limited to the duties listed below
  • Assist in the design, development, testing, and deployment of software applications and AI-enabled solutions.
  • Support the development of scalable backend services, APIs, and data‑driven applications.
  • Collaborate with engineers and stakeholders to understand requirements and deliver technical solutions.
  • Participate in AI and machine learning solution development, integration, testing, and documentation.
  • Work with cloud platforms and modern software development tools to support application delivery.
  • Contribute to Agile development activities, including sprint planning, standups, retrospectives, and code reviews.
  • Troubleshoot, debug, and resolve software defects during development and quality assurance cycles.
  • Develop and maintain technical documentation, user guides, and engineering artifacts.
  • Learn and apply software engineering best practices, including secure coding, version control, testing, and CI/CD processes.
  • Stay current with emerging technologies, including Generative AI, machine learning, cloud computing, automation, and modern software development practices.
  • Bachelor’s degree in Computer Engineering, Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related technical field.
  • Strong programming skills in one or more languages such as Python, Java, C++, JavaScript, or TypeScript.
  • Understanding of software development fundamentals, data structures, algorithms, and object‑oriented programming concepts.
  • Familiarity with software development methodologies such as Agile or Scrum.
  • Strong analytical thinking and problem‑solving abilities.
  • Excellent written and verbal communication skills.
  • Demonstrated interest in artificial intelligence, software engineering, data engineering, or emerging technologies through coursework, projects, research, or personal initiatives.
  • U.S. Citizenship with the ability to obtain and maintain a Secret Security Clearance.
Preferred Qualifications
  • Internship, research, co‑op, hackathon, or capstone project experience related to software development, AI, machine learning, or data engineering.
  • Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
  • Familiarity with Git and version control best practices.
  • Knowledge of APIs, databases, data processing, or cloud‑native architectures.
  • Exposure to AI/ML concepts, Generative AI, large language models (LLMs), or data analytics.
  • Interest in cybersecurity, DevSecOps, automation, or data engineering.
  • Experience with Python‑based development or AI/ML libraries through academic projects.
  • Active Security Clearance.
What We Offer
  • Meaningful work supporting federal missions that positively impact national security, public health, and global initiatives.
  • Hands‑on mentorship from experienced software engineers, AI engineers, and technology leaders.
  • Exposure to cutting‑edge technologies, including AI, cloud computing, data engineering, and automation.
  • Professional development, training, and certification opportunities.
  • Clear career growth pathways within a rapidly growing technology organization.
Salary Range:$90,000 - $110,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications.
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development
  • Wellness Resources
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