Opportunity

Data Labeling Specialist Career at Workada in Columbus

Location Columbus
Company Workada
Source remotive
Posted 2026-07-26 20:49:11

Career & Market Insight

This entry-level data annotation role offers excellent work-life balance with part-time hours (max 40/week) and independent work structure. The $18-22/hour rate is competitive for data labeling work, which typically ranges $15-25/hour in the US market.

Skill development potential: You'll build valuable experience in AI/ML data preparation, quality assurance, and systematic digital content review. These skills are increasingly in-demand as companies expand their AI initiatives. The role develops attention to detail, process adherence, and data quality expertise.

Green flags: Workada emphasizes the meaningful impact of data work, suggesting a company that values employee contribution. The "no experience required" approach with comprehensive training indicates good onboarding support.

Career progression: This role provides entry into the growing AI/data sector. Skills gained here transfer well to data analyst, quality assurance, content operations, or AI training specialist roles. The remote-first nature and project-based work style also builds valuable distributed work experience.

Consider this a solid stepping stone for building foundational data skills while maintaining flexibility for other pursuits or education.

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 โ€” 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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