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Remote Data Labelling Jobs in Missouri (NOW HIRING)

... Labels too small"). YOU ARE A FIT IF YOU...   * Have an eye for artistic detail and intuitive ... Remote · Estimated volume: 8 - 10 hours · Start date: The project runs on a weekly basis.

New

$250K - $350K/yr

... Private Label brands. You will work directly on the strategic side of the business, helping ... The environment is fully remote, fast-paced, entrepreneurial, and highly performance-oriented, with ...

The environment is remote-first and internationally distributed, with experienced professionals ... Contribute to multi-flavor and white-label application delivery, including brand-specific ...

... data standards or to be transformed into a usable state for labeling and model testing purposes ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

$94K - $124K/yr

Remote in Europe How You'll Make an Impact: As a Senior Software Engineer on the POS team, you'll ... Design reliable APIs, data models, caching, synchronization, and recovery paths using PostgreSQL ...

Imagery Scientist (EO)- Expert

Saint Louis, MO · On-site +1

$180K - $210K/yr

Data formats * APIs and ETL processes * Existing operational pipelines * Develop strategies to ... Labeling * Model testing * Advanced exploitation workflows * Investigate gaps in emerging EO sensor ...

Remote Data Labelling information

See Missouri salary details

$43.1K

$154.8K

$228.4K

How much do remote data labelling jobs pay per year?

As of Aug 29, 2026, the average yearly pay for remote data labelling in Missouri is $154,788.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,200.00 and $159,500.00 per year, depending on experience, location, and employer.

What is a remote data labelling?

A Remote Data Labelling job involves annotating, categorizing, or tagging data (such as images, text, or audio) to help train machine learning models. Workers typically use specialized tools to label data based on specific guidelines provided by companies. This role is performed entirely online, making it flexible and accessible from anywhere. It is commonly used in AI development for industries like autonomous vehicles, healthcare, and e-commerce.

What are the key skills and qualifications needed to thrive in remote data labelling?

To thrive as a Remote Data Labelling professional, strong attention to detail, accuracy, and basic computer literacy are essential, often requiring a high school diploma or equivalent. Familiarity with data annotation platforms, labeling tools, and sometimes experience with spreadsheet or project management software are common requirements. Excellent time management, self-motivation, and the ability to follow detailed instructions help individuals excel in this largely independent role. These qualifications are vital to ensure precise, high-quality data sets that drive effective machine learning and AI model development.

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

Remote data labelling professionals often encounter challenges such as repetitive tasks, maintaining focus over extended periods, and interpreting ambiguous data accurately. To manage these challenges, it helps to take regular breaks, use productivity techniques, and seek clarification from supervisors or team leads when instructions are unclear. Many companies provide detailed guidelines and offer online support channels to help remote labelers stay engaged and ensure consistency. Being proactive in communication and attentive to updates in instructions will contribute to both job satisfaction and data quality.

How can I get started in remote data labeling?

To start as a remote data labeler, gain basic knowledge of data annotation tools and understand labeling guidelines for different data types such as images, audio, or text. Many companies require a reliable internet connection, attention to detail, and sometimes a test task to demonstrate accuracy. You can find entry-level positions on online job platforms and consider completing relevant online courses to improve your skills.

How much are remote data labelers paid?

Remote data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the company. Some roles may offer project-based pay or bonuses for accuracy and efficiency.

What are popular job titles related to Remote Data Labelling jobs in Missouri?

For Remote Data Labelling jobs in Missouri, the most frequently searched job titles are:

What cities in Missouri are hiring for Remote Data Labelling jobs?

Cities in Missouri with the most Remote Data Labelling job openings:

Infographic showing various Remote Data Labelling job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $154,788 per year, or $74.4 per hour.

English AI Maps Trainer

Welo Data

Kansas City, MO • Remote

$20.30/hr

Part-time

Posted yesterday

New


Job description

Job Description:

What if your knowledge English language could help improve the AI.  
   

WHAT YOU’LL DO  

  • Evaluate the aesthetic quality, readability, and overall polish of digital map designs.
  • Assess user-focused elements like viewport framing, geospatial accuracy, and content relevance.
  • Review personalized location recommendations to ensure relevance and helpfulness.
  • Follow strict project instructions and complete tasks accurately, including tagging specific issues (e.g., “Icons not properly masked,” “Labels too small”).
     

YOU ARE A FIT IF YOU…  

  • Have an eye for artistic detail and intuitive design
  • Think critically about spatial accuracy, relevance, and context
  • Care about delivering polished and helpful digital experiences
     

Requirements: 

  • To be located and have the right to work in the United States.
  • An existing, actively used Gmail account with prior usage history on Google Maps.
  • Participation is limited to maximum three project rounds. Please note that the task request will be dynamic and we will be providing you with a heads-up as soon as possible once there is a project round available for you.

PROJECT DETAILS  

·       Job Title: Maps Visual Design Relevance Evaluator - English (US)

·       Contract type: Freelance

·       Hourly rate: US$20.30

·       Language: English (US)

·       Location: Remote

·       Estimated volume: 8 - 10 hours

·       Start date: The project runs on a weekly basis. Eligible candidates will be added to a pool of certified raters and contacted at least 48 hours before kickoff.

Please note

  • This project requires opt-in, consent-based access to limited elements of your activity history. A consent form will be provided for you to review and sign before participation.
  • A desktop or laptop computer is required to complete the application and onboarding process. Mobile devices are not supported. 

Hiring in: Alabama, Arizona, Florida, Colorado, Georgia, Connecticut, Indiana, Delaware, Kansas, Idaho, Kentucky, Illinois, Missouri, Iowa, Montana, Maine, New Hampshire, Maryland, North Carolina, Massachusetts, Ohio, Michigan, Oklahoma, Minnesota, Pennsylvania, Nevada, South Carolina, New Jersey, Tennessee, New Mexico, New York, Oregon, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin


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.