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Entry Level Ai Data Rater Jobs (NOW HIRING)

RSM does not intend to hire entry level candidates who will require sponsorship now OR in the ... The salary range (or starting rate for interns and associates) for this role represents numerous ...

RSM does not intend to hire entry level candidates who will require sponsorship now OR in the ... The salary range (or starting rate for interns and associates) for this role represents numerous ...

RSM does not intend to hire entry level candidates who will require sponsorship now OR in the ... The salary range (or starting rate for interns and associates) for this role represents numerous ...

Excellent written and verbal communication skills For data Science/Machine learning REQUIRED SKILLS ... entry level position the additional skills and Project work with hands on experience building ...

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Entry Level Ai Data Rater information

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$10

$19

$26

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

As of Jun 4, 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 are the key skills and qualifications needed to thrive as an Entry Level AI Data Rater, and why are they important?

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 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 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.

More about Entry Level Ai Data Rater jobs
What cities are hiring for Entry Level Ai Data Rater jobs? Cities with the most Entry Level Ai Data Rater job openings:
What are the most commonly searched types of Ai Data Rater jobs? The most popular types of Ai Data Rater jobs are:
What states have the most Entry Level Ai Data Rater jobs? States with the most job openings for Entry Level Ai Data Rater jobs include:
What job categories do people searching Entry Level Ai Data Rater jobs look for? The top searched job categories for Entry Level Ai Data Rater jobs are:
Infographic showing various Entry Level Ai Data Rater job openings in the United States as of May 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $39,629 per year, or $19.1 per hour.
Entry-Level AI/ML Engineer

Entry-Level AI/ML Engineer

SynergisticIT

Salt Lake City, UT • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

SYNERGISTICIT = exceptional skills and technologies enabled Candidates . we ensure you get the attention required from Tech Clients which you resume requires
Position open for all visas and US citizens
We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped thousands of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart labs etc to name a few.
We have an excellent reputation with the clients. Currently, We are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/ Data Scientists.
We welcome candidates with all visas and citizens to apply.
Who Should Apply : Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates looking to make their careers in IT Industry
Candidates who are serious about their future in the IT Industry and have set big goals for themselves.
Candidates having difficulty in finding jobs or cracking interviews or who wants to improve their skill portfolio. We also offer Skill enhancement programs if the candidates are missing skills or experience which our clients need with great outcomes
Candidates can benefit from skill enhancement if they fall into the below categories. If they are qualified with enough skills then no need for skill enhancement
Candidates who Lack Experience
Have had a break in careers
Lack Technical Competency
Different visa candidates who want to get employed and settle down in the USA

Please also check the below links :
https://www.synergisticit.com/candidate-outcomes/
https://synergisticit.wistia.com/medias/o5gmv7i9eu
https://www.youtube.com/playlist?list=PLJgkOBQ51j5AHT5I6n29glr0q6trzkxYD
https://synergisticit.wistia.com/medias/k6t6a1n4kb
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT
If not a match candidates can opt for Skill enhancement.
REQUIRED SKILLS For Java/Software Programmers :
  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of Core Java , javascript , C++ or software programming
  • Spring boot, AWS, Microservices and REST API's experience
  • Excellent written and verbal communication skills
For data Science/Machine learning
REQUIRED SKILLS
  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of Statistics, Python, data visualization tools
  • Excellent written and verbal communication skills
Preferred skills: Powerbi, Databricks, Snowflake, NLP, Text mining, Tableau, Time series analysis
Please understand skills are required by clients for selection even if its Junior or entry level position the additional skills are the only way a candidate can be picked by clients.
No third party candidates or c2c candidates
Please understand skills are required by clients for selection even if its Junior or entry level position the additional skills are the only way a candidate can be picked by clients.
Please apply to the posting
No phone calls please. Shortlisted candidates would be reached out