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Full Time Content Labelling Jobs (NOW HIRING)

Welo Data

Data Labeling Associate

Washington, DC

$34/hr

Experienced in data labelling, annotation, content review, or similar detail-oriented work (2+ year ... W2 Full-Time Employee * Hours: 40 hours per week * Work Authorization: Must be authorized to work ...

Welo Data

Data Labeling Associate

Bellevue, WA

$34/hr

Experienced in data labelling, annotation, content review, or similar detail-oriented work (2+ year ... W2 Full-Time Employee * Hours: 40 hours per week * Work Authorization: Must be authorized to work ...

Welo Data

Data Labeling Associate

Redmond, WA

$34/hr

Experienced in data labelling, annotation, content review, or similar detail-oriented work (2+ year ... W2 Full-Time Employee * Hours: 40 hours per week * Work Authorization: Must be authorized to work ...

Welo Data

Data Labeling Associate

Seattle, WA

$34/hr

Experienced in data labelling, annotation, content review, or similar detail-oriented work (2+ year ... W2 Full-Time Employee * Hours: 40 hours per week * Work Authorization: Must be authorized to work ...

Welo Data

Data Labeling Associate

New York, NY

$34/hr

Experienced in data labelling, annotation, content review, or similar detail-oriented work (2+ year ... W2 Full-Time Employee * Hours: 40 hours per week * Work Authorization: Must be authorized to work ...

Welo Data

Data Labeling Associate

Sunnyvale, CA

$34/hr

Experienced in data labelling, annotation, content review, or similar detail-oriented work (2+ year ... W2 Full-Time Employee * Hours: 40 hours per week * Work Authorization: Must be authorized to work ...

Welo Data

Data Labeling Associate

Burlingame, CA

$34/hr

Experienced in data labelling, annotation, content review, or similar detail-oriented work (2+ year ... W2 Full-Time Employee * Hours: 40 hours per week * Work Authorization: Must be authorized to work ...

Welo Data

Data Labeling Associate

Austin, TX

$34/hr

Experienced in data labelling, annotation, content review, or similar detail-oriented work (2+ year ... W2 Full-Time Employee * Hours: 40 hours per week * Work Authorization: Must be authorized to work ...

Welo Data

Data Labeling Associate

Chicago, IL

$34/hr

Experienced in data labelling, annotation, content review, or similar detail-oriented work (2+ year ... W2 Full-Time Employee * Hours: 40 hours per week * Work Authorization: Must be authorized to work ...

Welo Data

Data Labeling Associate

San Francisco, CA

$34/hr

Experienced in data labelling, annotation, content review, or similar detail-oriented work (2+ year ... W2 Full-Time Employee * Hours: 40 hours per week * Work Authorization: Must be authorized to work ...

Welo Data

Data Labeling Associate

Boston, MA

$34/hr

Experienced in data labelling, annotation, content review, or similar detail-oriented work (2+ year ... W2 Full-Time Employee * Hours: 40 hours per week * Work Authorization: Must be authorized to work ...

Revolution Medicines

Director, Regulatory Affairs Labeling

$153K - $202K/yr

Research the content of other labels in the same therapeutic class, including competitor labeling ... this full-time position for candidates working onsite at our headquarters in Redwood City, CA is ...

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Showing results 21-40

All Jobsfull time JobsFull Time Content Labelling Jobs

Full Time Content Labelling information

See salary details

$29.5K

$116.6K

$129K

How much do full time content labelling jobs pay per year?

As of Aug 22, 2026, the average yearly pay for full time content labelling in the United States is $116,615.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,000.00 and $128,000.00 per year, depending on experience, location, and employer.

What are the most commonly searched types of Content Labelling jobs?

The most popular types of Content Labelling jobs are:

Full Time Content Labelling jobs near you

AI Content Solutions Executive (Hunter + Closer)

Focus Forward

Philadelphia, PA • On-site

$60K - $150K/yr

Full-time

Re-posted yesterday

Job description

Job Title: AI Content Solutions Executive (Hunter + Closer)
Location: Remote / Global
Type: Full-Time | Sales & Client Strategy
About the Role
We're looking for a smart, curious, and persuasive AI Content Solutions Executive - someone who can hunt for new opportunities in the AI space and close strategic partnerships with teams building the next generation of language, vision, and multimodal models.
At C8C, we help Fortune 500s, AI labs, and startups collect and label the custom content they need to train high-performing, ethical, and scalable models. You'll be at the front lines of this AI revolution - and your work will shape the future of what machines understand.
What You'll Do
  • Identify and reach out to prospects building GenAI, speech, CV, or search models
  • Understand their data and content needs (e.g., synthetic training data, STT, labeling, QA)
  • Pitch our data collection, annotation, or evaluation services
  • Build tailored proposals with help from solutions and ops teams
  • Close deals and grow accounts
  • Build relationships with AI product leads, researchers, and data buyers
  • Represent the company at events or in thought leadership, if desired

• What You Bring
  • 2-5 years in B2B sales, ideally selling services into tech, AI, research, or localization
  • You know how to find the buyer, ask the right questions, and land the deal
  • Familiarity with Generative AI, training data, or ML pipelines a plus
  • Strong communication and consultative selling skills
  • Comfortable managing both outbound prospecting and closing
  • Bonus: You've worked at or sold into LXT, Appen, Scale AI, Sama, Surge, etc.

Compensation
  • Base: $60,000
  • Commission: Uncapped - 10-15% on closed deals

Perks
  • Remote & flexible hours
  • Work with the world's most innovative AI teams
  • High autonomy, low red tape
  • Room to grow into leadership or client strategy
  • Real impact - your work helps shape AI systems used by millions

To Apply
Send your resume and a few sentences about a deal you're proud of to or message us on LinkedIn.

Apply