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Data Rater Jobs (NOW HIRING)

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Data Scientist

Mclean, VA · On-site

$60 - $65/hr

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Data Engineer

Bloomington, MN · On-site

$70 - $80/hr

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Clinical Rater Brooklyn Health is solving the measurement problem in mental health through accurate ... data collected during study visits in CNS clinical trials. Clinical Raters and Senior Clinical ...

Data Scientist - IV

Irving, TX · On-site

$70 - $75/hr

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Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ...

Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ...

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Data Rater information

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$10

$28

$73

How much do data rater jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for data rater in the United States is $28.42, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $31.97 per hour, depending on experience, location, and employer.

What is a data rater?

Data Raters are professionals who evaluate and provide feedback on data, such as search engine results, advertisements, and social media content, to help improve the accuracy and relevance of algorithms. They often work with large tech companies to assess whether content meets specific quality guidelines and user intent. Data Raters typically work remotely on a part-time or flexible schedule, and their work is crucial in training artificial intelligence systems to better understand human preferences.

What are the key skills and qualifications needed to thrive as a data rater, and why are they important?

To thrive as a Data Rater, you need strong analytical abilities, attention to detail, and proficiency in following detailed guidelines, often requiring at least a high school diploma or equivalent. Familiarity with web-based evaluation tools, spreadsheets, and sometimes proprietary rating platforms is typically expected. Excellent time management, critical thinking, and effective written communication are valuable soft skills for excelling in this role. These skills ensure accurate and consistent data evaluation, which directly impacts the quality and effectiveness of machine learning models and search algorithms.

What are some common challenges data raters face, and how can they effectively manage them?

Data Raters often encounter challenges such as maintaining consistency in their evaluations, understanding complex guidelines, and managing repetitive tasks. To effectively handle these, it's important to regularly review guideline updates, seek clarification from team leads when unsure, and use productivity techniques to stay focused during long periods of rating. Collaborating with peers through forums or team meetings can also help share best practices and resolve ambiguities.

What is the difference between Data Rater vs Data Annotator?

AspectData RaterData Annotator
Required CredentialsHigh school diploma or equivalent; some roles may require basic technical skillsHigh school diploma; some roles may prefer familiarity with annotation tools
Work EnvironmentRemote or office-based; often involves reviewing data for qualityRemote or office-based; involves labeling or tagging data for machine learning
Employer & Industry UsageTech companies, data services, AI firmsAI and machine learning companies, data labeling services

Data Raters primarily review and assess data quality, ensuring accuracy and consistency, while Data Annotators focus on labeling data to train machine learning models. Both roles are essential in AI development, often sharing similar skills and work environments, but differ in their specific tasks and objectives.

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Infographic showing various 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, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $59,106 per year, or $28.4 per hour.

Data Scientist

Altamonte Springs, FL • On-site

Kforce Technology Staffing
IT Services • 1 - 5K employees

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Job description

RESPONSIBILITIES:
Kforce has a client that is seeking a Senior Data Scientist in Altamonte Springs, FL.
Duties Include:
* Responsible for communicating complex data or algorithms into simple conclusions that empower business improvement actions across the healthcare continuum based on derived insights
* Identifies and quantifies market opportunities, forecasts market behavior, and analyzes ways to maximize the use of current physical assets
* Drives insights into actions that improve decision-making and business results
* Participates in maintaining respectful relationships and outstanding customer service
* Contributes to the overall success of the organization through effective communication and data analysis
* Provides regular reports and presentations on market trends and utilization forecasts
* Drives insights into actions that improve decision-making and business results
* Maintains respectful relationships and outstanding customer service
* Uses statistical methods to predict market behavior and utilization rates
* Monitors and evaluates the effectiveness of forecasting models and adjusts as needed
* Communicates complex data insights in a clear and actionable manner
* Collaborates with cross-functional teams to integrate data-driven insights into business strategies
* Identifies and quantifies market opportunities based on data analysis
* Analyzes historical performance data to identify trends and patterns
* Develops models to forecast future market trends and utilization behavior
* Applies learnings from past performance to improve forecasting accuracy
* Designs data architecture to work within the needs of the project and tools available
* Other duties as assigned
REQUIREMENTS:
* Master's degree required
* 7+ years of experience in a quantitative or computing field such as Data Analytics, Data Science, Computer Science, Statistics, Econometrics, Predictive Analytics, or related field
* Experience working with large datasets and in an enterprise level environment
* Healthcare experience is a plus
* Expertise in statistical modeling and predictive analytics techniques, such as regression analysis and decision trees
* Ability to use advanced statistical modeling techniques to convert data into actionable market insights
* Strong problem-solving skills with ability to think and act strategically
* Superb communication skills explaining complex quantitative models to Business Development, Marketing, and Senior Executives
* Achieve defined project goals within customer deadlines; Proactively communicate status and escalate issues as needed
* Strong programming skills for pulling data, quantifying, and visualizing results
* Comfortable using varied platforms and applications such as SQL and Snowflake
* Proficiency in Microsoft Office products (Microsoft Word, Power Point, Excel and Access) and statistical packages, such as R and Python
* Quality-focused with attention to detail and accuracy
* Experience in Python
* Experience Developing Machine Learning Models
* Experience in Power BI
* Ability and willingness to stay informed about emerging technologies, including artificial intelligence, and their relevance to the role
* Claims Data experience preferred
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.

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About Kforce

Sourced by ZipRecruiter

Kforce is a professional staffing services firm that is located in Tampa, Florida, US. Operational since 1962, it specializes in flexible and direct hire staffing in Technology and Finance & Accounting, engaging over 23,000 highly skilled professionals annually with more than 4,000 customers. Kforce operates within various industry sectors such as healthcare, financial services, communications, and government. Their mission is to have a meaningful impact on all the lives they serve, with a focus on integrity, respect, and trust.

Industry

It services and finance and insurance

Company size

1,001 - 5,000 Employees

Headquarters location

Tampa, FL, US