Jobs · Full-time

Data Labeling Specialist at Workada - Remote USA — Columbus

LocationColumbus
CompanyWorkada
Sourceremotive
Posted2026-07-26 20:49:11

Traveler-Friendly Insight

This role is highly nomad-friendly for US-based digital nomads. The work is completely computer-based with flexible scheduling, requiring only a reliable internet connection and basic web tools. At $18-22/hour part-time (max 40 hours/week), this provides solid income flexibility while traveling.

Timezone considerations: Since this involves independent data review work, it's likely async-friendly without strict schedule requirements. The focus on "independent work" and deadline-driven tasks suggests you can work during your preferred hours.

For US nomads, this income range works well in lower-cost destinations like Mexico ($720-880/week) or Eastern Europe. In higher-cost nomad hubs like Lisbon or Bangkok, the part-time nature provides good work-life balance while covering living expenses.

The computer-only requirements mean minimal equipment needs - perfect for nomads who prefer light packing. No mention of video calls or real-time collaboration makes this ideal for nomads dealing with varying internet quality or timezone challenges.

Who We Are

Workada creates high-quality labeled data for advanced technology systems. Our team reviews, organizes, categorizes, evaluates, and quality-checks digital content so those systems can better understand information and perform real-world tasks.
We believe careful data work matters. Every reviewed item, categorized example, and quality-checked task helps improve how technology interprets information, follows instructions, and responds in practical settings.

About You

We're hiring detail-oriented individuals who are comfortable working on a computer and interested in careful, focused digital work. We're especially interested in:

  • People who can carefully review written information, images, documents, or other digital content
  • Strong readers and writers with good judgment
  • People who can follow detailed instructions consistently
  • Individuals who are comfortable using web-based tools and online platforms
  • People who take quality seriously and can spot mistakes or inconsistencies
  • Those who enjoy focused, independent work while contributing to a larger project
  • Strong character matters — we value integrity, reliability, curiosity, and a commitment to high-quality work



Qualifications

  • Comfortable using a computer for extended periods
  • Reliable internet connection
  • Strong attention to detail
  • Ability to follow written guidelines and project instructions
  • Clear written communication skills
  • Basic familiarity with spreadsheets, online forms, or web-based work tools
  • Ability to work independently and meet deadlines
  • Prior experience in data labeling, annotation, quality review, research, writing, customer support, operations, or administrative work is helpful but not required



Compensation

Compensation is $18- $22 an hour and a max of 40 hours a week.

A Place to Do Meaningful Work

Data labeling may sound simple, but it plays an important role in improving the technology people use every day. At Workada, your work helps create the examples and feedback that make advanced systems more accurate, consistent, and useful.

We're looking for people who care about accuracy, consistency, and careful judgment. Whether you're reviewing text, categorizing information, evaluating responses, or checking data quality, your work helps improve the way technology performs.

Frequently Asked Questions

Is this a fully remote position?
Yes, this is a fully remote position requiring only a computer and reliable internet connection. You can work from anywhere in the USA.
What are the working hours and schedule flexibility?
The role offers maximum flexibility with up to 40 hours per week. Since it's independent, deadline-driven work, you likely can choose your own hours.
Do I need prior experience in data labeling?
No prior experience is required. While experience in data labeling, research, or administrative work is helpful, comprehensive training will be provided.
How much can I earn with this position?
Compensation ranges from $18-22 per hour with a maximum of 40 hours per week, potentially earning $2,880-3,520 per month at full hours.
What type of work will I be doing day-to-day?
You'll review, categorize, and quality-check digital content including text, images, and documents to help improve AI and technology systems.
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