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Entry Level Ai Data Rater Jobs in Minnesota (NOW HIRING)

Kforce Technology Staffing

Data Architect

Hopkins, MN · On-site

$65 - $83.50/hr

Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce ... and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will ...

Peak Systems

Be Seen First

Entry Level Server Technician IMAC

Minneapolis, MN · On-site

$30 - $35/hr

Why Work With Peak Systems? * $30+/hr pay rate * Flexible scheduling with occasional after-hours or ... Whether you're looking to expand your experience in data centers, AI infrastructure, field services ...

Introl

Data Center Technician

Saint Paul, MN · On-site

$30 - $36/hr

The region serves major enterprises requiring GPU computing infrastructure for AI and analytics ... Benefits Hourly rate commensurate with experience and project scope Overtime eligibility in ...

Essor

Retail Associate Account Manager

Minneapolis, MN · On-site

We expect Essorians to actively leverage AI, data, and automation to drive impact in their daily ... Serve as a liaison across customers, vendors, and internal teams to improve fulfillment rates and ...

Essor

Retail Sales Associate

Minneapolis, MN · On-site

$15.75 - $18/hr

We expect Essorians to actively leverage AI, data, and automation to drive impact in their daily ... Serve as a liaison across customers, vendors, and internal teams to improve fulfillment rates and ...

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Entry Level Ai Data Rater information

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.
What are the most commonly searched types of Ai Data Rater jobs in Minnesota? The most popular types of Ai Data Rater jobs in Minnesota are:
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Entry Level Ai Data Rater jobs near you
Infographic showing various Entry Level Ai Data Rater job openings in Minnesota as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution.

AI Content Rater - Ukrainian Language Specialist

Welo Data

Saint Paul, MN • Remote

$29/hr

Full-time

Posted 23 days ago

Job description

Job Title: AI Content Rater - Ukrainian Fluency

What if your expertise in Ukrainian language and writing could help improve the next generation of AI systems used by millions of people worldwide?

WHAT YOU’LL DO

  • Evaluate AI-generated responses for accuracy, grammar, and cultural relevance
  • Identify issues and provide high-quality rewritten responses
  • Create natural prompts and responses in Ukrainian to improve conversational AI datasets

YOU ARE A FIT IF YOU’RE…

  • Fluency in Ukrainian

PROJECT DETAILS

  • Location: Remote (Worldwide)
  • Employment Type: Freelance
  • Language: Ukrainian (Fluent)
  • Estimated Commitment: 8–10 hours

BENEFITS

  • $29.00 USD per hour
  • Fully remote and flexible work arrangement

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.