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Entry Level Ai Data Rater Jobs (NOW HIRING)

Welo Data

Search Quality Rater - Spanish (US)

Charleston, WV · Remote

$16.50 - $21/hr

Our main goal for this project is to develop and augment AI data. To put it more plainly, you will provide subjective and objective ratings based on project rules and conventions. You will complete ...

Murphy Door

Artificial Intelligence Architect

Ogden, UT · On-site

$61.75 - $81.25/hr

... an entry level AI role. This is not a research only position. This is a build and deploy role ... You will have real manufacturing systems, real sales teams, and real operational data to improve.

Perle AI

Freelance Audio Contributor - US English

Our contributor network spans the globe, and our data directly shapes how AI understands and ... Ensure recordings meet technical specs: minimum 16kHz sample rate, clear audio, minimal background ...

Welocalize, Inc.

Search Quality Rater

Chicago, IL · Remote

$18.25 - $23.50/hr

Our main goal for this project is to develop and augment AI data. To put it more plainly, you will provide subjective and objective ratings based on project rules and conventions. Job Title: Search ...

Welocalize, Inc.

Search Quality Rater

Austin, TX · Remote

$17.50 - $22.50/hr

Our main goal for this project is to develop and augment AI data. To put it more plainly, you will provide subjective and objective ratings based on project rules and conventions. Job Title: Search ...

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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 25, 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 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.

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.
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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 June 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $39,629 per year, or $19.1 per hour.
Information Technology_USA - USA_Developer

Information Technology_USA - USA_Developer

Real Soft, Inc.

Jacksonville, FL • On-site

$45.75 - $62.50/hr

Contractor

Posted 22 days ago

Job description

**Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES BETWEEN UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
Example: PTN_US_9999999_SKIPJOHNSON0413
: -
MSP Owner: Michelle Lee
Location: Cairo, IL
Duration: 6 months
skill id: 10787055
We are seeking skilled professionals in AI, Data Science, and Operations Research (OR) with strong coding and problem-solving abilities.
Core Technical Skills:
Programming: Python (must-have), SQL
Optimization Tools: PuLP, CPLEX
AI/ML: Machine Learning, GenAI (ChatGPT, Mistral), LLMs
Other Tools: MS Copilot, Element (optimization), Wibey
Core Areas:
AI / Data Science
Operations Research & Optimization
Forecasting & Mathematical Modeling
Key Responsibilities:
Develop and implement ML/AI models and optimization solutions
Work on large-scale optimization problems (Linear/Mixed Integer Programming)
Build and test data-driven solutions with strong coding practices
Leverage GenAI tools for automation, coding, and productivity
Collaborate with cross-functional teams and communicate effectively
Evaluation (HackerRank):
Python coding (data structures, ML-related problems)
SQL queries and data handling
Problem-solving and logical reasoning
Additional Skills:
Strong coding and testing skills
Familiarity with auto-coding / AI-assisted development
Good communication and collaboration skills
Skills: Digital : Machine Learning
Experience Required[RATE REDACTED], Project Code :

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