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Hourly Remote Data Labeling Jobs in Dallas, TX (NOW HIRING)

Prointegrate LLC

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Business Analyst - Data Annotator (USA) - Remote

Dallas, TX · Remote

$15 - $17/hr

Remote - United States Employment Type: Short-Term Contractor / Freelancer Engagement ... Review, classify, label, and validate data according to project-specific guidelines. * Analyze ...

YO AI Labs

English Language Expert - Remote

Dallas, TX · Remote

$30 - $50/hr

In this hourly remote role, you will review AI-generated English-language responses, create expert ... Previous experience in AI data training, annotation, editorial QA, localization QA, or professional ...

HumanSignal

High Volume (TOFU) Recruiter

Dallas, TX · On-site +1

$55K - $100K/yr

... standard for data labeling and evaluation, used by over 1 million practitioners worldwide. We ... San Francisco, CA preferred; open to other remote options About the Role HumanSignal Services runs ...

HumanSignal

Delivery Lead

Dallas, TX · Remote

$110K - $140K/yr

... and remote workforce marketplaces can't. We own projects end-to-end, from scoping and protocol ... Our work spans RLHF, evals, red-teaming, and custom multimodal data creation, all powered by Label ...

Welo Data

English AI Maps Trainer

Fort Worth, TX · Remote

$20.30/hr

... Labels too small"). YOU ARE A FIT IF YOU...   * Have an eye for artistic detail and intuitive ... Freelance · Hourly rate: US$20.30 · Language: English (US) · Location: Remote · Estimated ...

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Hourly Remote Data Labeling information

What is hourly remote data labeling?

Hourly remote data labeling is a job where individuals work from home to tag, categorize, or annotate data (such as images, videos, text, or audio) for machine learning and artificial intelligence projects. Workers are typically paid by the hour and use online platforms to complete labeling tasks assigned by companies or research organizations. This work is crucial because AI models need large volumes of accurately labeled data to learn and function properly. The job usually requires attention to detail and may involve following specific guidelines to ensure data quality.

What are the key skills and qualifications needed to thrive as an hourly remote data labeler?

To thrive as an Hourly Remote Data Labeler, you need strong attention to detail, basic computer literacy, and the ability to follow specific guidelines, often with a high school diploma or equivalent. Familiarity with data annotation tools and platforms such as Labelbox, Prodigy, or internal company systems is typically required. Reliability, time management, and effective written communication are crucial soft skills for meeting deadlines and maintaining quality in a remote setting. These skills and qualities are important to ensure accurate, consistent data labeling that directly impacts the performance of AI and machine learning models.

What are some common challenges faced by hourly remote data labelers, and how can they be managed?

Hourly remote data labeling professionals often encounter challenges such as maintaining consistent accuracy, managing repetitive tasks, and staying self-motivated while working independently. To manage these challenges, it's important to set up a dedicated workspace, take regular breaks to reduce fatigue, and follow established labeling guidelines closely. Frequent communication with team leads and participating in quality feedback sessions can also help ensure your work meets project standards and fosters professional growth.

What is the difference between Hourly Remote Data Labeling vs Data Annotation Specialist?

AspectHourly Remote Data LabelingData Annotation Specialist
CredentialsBasic computer skills, attention to detailSimilar credentials, often with some industry-specific knowledge
Work EnvironmentRemote, flexible hoursRemote, often project-based or ongoing
Industry UsageCommon in AI/ML developmentUsed across tech, healthcare, automotive sectors
Search IntentLooking for remote data labeling jobsSearching for data annotation roles

Both roles involve labeling or annotating data for machine learning models, often remotely. The main difference lies in terminology and specific industry usage, but they share similar credentials and work environments.

What are popular job titles related to Hourly Remote Data Labeling jobs in Dallas, TX?

For Hourly Remote Data Labeling jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Hourly Remote Data Labeling jobs in Dallas, TX look for?

The top searched job categories for Hourly Remote Data Labeling jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Hourly Remote Data Labeling jobs?

Cities near Dallas, TX with the most Hourly Remote Data Labeling job openings:

Hourly Remote Data Labeling jobs near you
Infographic showing various Hourly Remote Data Labeling job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Business Analyst - Data Annotator (USA) - Remote

Dallas, TX • Remote

Prointegrate LLC
See more jobs at Prointegrate LLCexternal

$15 - $17/hr

Contractor

Posted 4 days ago

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Job description

Role Overview:

Position: Business Analyst – Data Annotator
Location: Remote – United States
Employment Type: Short-Term Contractor / Freelancer
Engagement: Approximately 6–7 months (24–28 weeks)
Start Date: September 4, 2026 (Expected)
Schedule: Full-time, up to 40 hours per week
Availability: 8 hours per day with at least 6 hours of overlap with PST
U.S. Location Requirement: Candidates must currently reside in the United States.
Important Location Restriction

Applications are accepted from all U.S. states except California, Connecticut, Massachusetts, New Jersey, and Vermont.


About the Role

We are looking for detail-oriented Business Analysts, Research Analysts, Writers, Editors, Journalists, and other analytical professionals to support AI data annotation and quality initiatives.

In this role, you will review, analyze, classify, label, and validate data according to detailed project guidelines. Your work will help improve the quality, accuracy, and performance of AI models and systems.

This is an excellent opportunity for professionals with strong writing, analytical, research, and communication skills who are interested in contributing to the development of advanced AI technologies.

Key Responsibilities

  • Review, classify, label, and validate data according to project-specific guidelines.
  • Analyze content and apply appropriate labels, categories, or classifications.
  • Maintain a high level of accuracy and consistency across assigned tasks.
  • Identify discrepancies, edge cases, and potential quality issues.
  • Perform quality checks and provide clear feedback when required.
  • Follow detailed instructions and project guidelines consistently.
  • Meet established productivity and quality expectations.
  • Work independently in a remote environment while maintaining reliable availability.
  • Support ongoing improvements to data quality and AI model performance.


Requirements

  • Must be currently based in the United States.
  • Candidates residing in California, Connecticut, Massachusetts, New Jersey, or Vermont are not eligible.
  • Bachelor's degree or undergraduate education in Engineering, Literature, Journalism, Communications, Arts, Statistics, or a related field is preferred.
  • Candidates without a Bachelor's degree may also be considered if they have relevant professional experience.
  • 2+ years of professional writing experience, such as:
    • Business Analyst
    • Research Analyst
    • Copywriter
    • Journalist
    • Technical Writer
    • Editor
    • Translator
    • Content Specialist
    • Similar roles
  • Strong English reading, writing, and comprehension skills.
  • Working knowledge of Microsoft Excel and Google Workspace/Google Suite.
  • Strong attention to detail and analytical thinking.
  • Ability to interpret detailed guidelines and apply them consistently.
  • Strong problem-solving and decision-making skills.
  • Ability to work independently and meet deadlines.
  • Reliable desktop or laptop with a stable internet connection.

Preferred Qualifications

  • Previous experience in data annotation, data labeling, content review, quality assurance, or AI-related projects.
  • Experience with data interpretation and logical reasoning.
  • Basic arithmetic and analytical skills.
  • Familiarity with artificial intelligence or machine learning projects.
  • Experience working with structured datasets or quality-control processes.


Availability & Work Schedule

  • 8 hours per day / up to 40 hours per week.
  • Must be available during the production phase for full-time work.
  • At least 6 hours of daily overlap with PST (Pacific Time) is required.
  • Work availability may vary during different phases of the project; however, candidates must be prepared to commit to the required full-time schedule when production work is active.
    About Turing

Based in San Francisco, California, Turing is a leading research accelerator for frontier AI labs and a trusted partner for enterprises deploying advanced AI systems. Turing supports frontier AI research through high-quality data, advanced training pipelines, and specialized AI researchers across coding, reasoning, STEM, multilinguality, multimodality, and agentic systems.

Application Process

  1. Submit your application for the role.
  2. Shortlisted candidates will receive automated analytical challenges.
  3. Complete the required assessment successfully.
  4. Candidates who clear the assessment can proceed to the next stage of the hiring process.

If you meet the requirements and are currently based in an eligible U.S. state, we encourage you to apply.