WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
Quick apply
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
Quick apply
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
Quick apply
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
Quick apply
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
Quick apply
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
Quick apply
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
Quick apply
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
Quick apply
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
Quick apply
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
Quick apply
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
Quick apply
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
Quick apply
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
Quick apply
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
Quick apply
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
Quick apply
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
Quick apply
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
Quick apply
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
Quick apply
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
Quick apply
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
Quick apply
WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...
Full Time Data Labeling information
How can I get started in data labeling?
To get started in data labeling, you should develop basic computer skills and familiarize yourself with common labeling tools or platforms. Many entry-level positions require attention to detail and the ability to follow instructions, often with no formal certification needed. You can find opportunities on online job boards and may need to complete a short training or test to demonstrate accuracy.
How much do data labelers make?
Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform or employer. Some may work on a freelance basis or per project, which can affect overall earnings.
Is data labeling work from home?
Full-time data labeling jobs are often available as remote positions, allowing workers to complete tasks from home using a computer and internet connection. These roles typically require attention to detail and familiarity with labeling tools or software, and they often offer flexible schedules. However, availability depends on the employer and specific job posting.
What is the difference between Full Time Data Labeling vs Data Annotation Specialist?
| Aspect | Full Time Data Labeling | Data Annotation Specialist |
|---|---|---|
| Credentials | Typically requires basic computer skills, sometimes a high school diploma | Similar, often no formal certification needed |
| Work Environment | Remote or office-based, part of a larger data team | Remote or on-site, focused on annotation tasks |
| Industry Usage | Common in AI/ML companies, tech firms | Used across AI, healthcare, automotive industries |
Full Time Data Labeling and Data Annotation Specialist roles often overlap in skills and work environment. The main difference lies in job scope; Full Time Data Labeling typically refers to a permanent position with broader responsibilities, while Data Annotation Specialist may be a more focused or freelance role. Both roles are essential for training AI models and are frequently found in similar industries.
Is data labelling a good career?
Data labeling is an entry-level job that involves annotating data for machine learning models, often requiring attention to detail and basic computer skills. It can provide a stepping stone into the tech industry, but it typically offers limited advancement opportunities and lower pay compared to other tech roles.
More about Full Time Data Labeling jobs
What cities are hiring for Full Time Data Labeling jobs? Cities with the most Full Time Data Labeling job openings:
What are the most commonly searched types of Data Labeling jobs? The most popular types of Data Labeling jobs are:
What states have the most Full Time Data Labeling jobs? States with the most job openings for Full Time Data Labeling jobs include:
What job categories do people searching Full Time Data Labeling jobs look for? The top searched job categories for Full Time Data Labeling jobs are:
$34/hr
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 13 days ago
Job description
What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide?
WHAT YOU’LL DO
• Execute Data labelling and annotation tasks across speech and voice datasets.
• Work with audio and language data, including transcription, categorization, and tagging.
YOU ARE A FIT IF YOU’RE…
• A English with Dialect from (Australian, United Kingdom and Canadian) speaker with strong written communication skills
• Experienced in data labelling, annotation, content review, or similar detail-oriented work (2+ year preferred)
• A Bachelor's degree holder
PROJECT DETAILS
• Location: 100% Onsite (Bay Area, Seattle, NYC, or client-dependent locations)
• Employment Type: W2 Full-Time Employee
• Hours: 40 hours per week
• Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship available)
• Eligible Locations: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, and Boston
BENEFITS
• $34 per hour
• Paid Vacation (6 days)
• Paid Company Holidays
• Paid Sick Leave
• Employee Assistance Program
• Health Savings Account (HSA)
• 401(k) Retirement Plan
• Additional Voluntary Benefits (Life, Accident, Critical Illness, etc.)
ADDITIONAL BENEFITS (Upon Eligibility)
• Medical, Dental, and Vision Insurance
• Free Breakfast, Lunch, and Dinner (where applicable)
• Stocked Micro-Kitchens with Snacks and Beverages
• Commuter Benefits, Including Shuttles and Bike-to-Work Options
• Unique Campus Amenities Depending on Location
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.
About Welo Data
Sourced by ZipRecruiter
Industry
Data services and translation services
Company size
1,001 - 5,000 Employees
Headquarters location
New York, NY, US