... judgment, attention to detail, and consistency . The work sits at the intersection of language ... Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow ...
New
Quick apply
... judgment, attention to detail, and consistency . The work sits at the intersection of language ... Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow ...
New
... judgment, attention to detail, and consistency . The work sits at the intersection of language ... Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow ...
New
Quick apply
... judgment, attention to detail, and consistency . The work sits at the intersection of language ... Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow ...
New
... judgment, attention to detail, and consistency . The work sits at the intersection of language ... Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow ...
New
Quick apply
... judgment, attention to detail, and consistency . The work sits at the intersection of language ... Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow ...
New
... judgment, attention to detail, and consistency . The work sits at the intersection of language ... Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow ...
New
Quick apply
... judgment, attention to detail, and consistency . The work sits at the intersection of language ... Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow ...
New
... judgment, attention to detail, and consistency . The work sits at the intersection of language ... Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow ...
New
Quick apply
... judgment, attention to detail, and consistency . The work sits at the intersection of language ... Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow ...
New
AI Data Expert | English | Remote
Washington, DC · On-site +1
You will contribute to ensuring high-quality results by applying careful judgment to factors such ... your annotation skills 3 - Finalize onboarding and profile set-up in our system, and become ...
AI Data Expert | English | Remote
Washington, DC · On-site +1
You will contribute to ensuring high-quality results by applying careful judgment to factors such ... your annotation skills 3 - Finalize onboarding and profile set-up in our system, and become ...
You will contribute to ensuring high-quality results by applying careful judgment to factors such ... your annotation skills 3 - Finalize onboarding and profile set-up in our system, and become ...
Quick apply
You will contribute to ensuring high-quality results by applying careful judgment to factors such ... your annotation skills 3 - Finalize onboarding and profile set-up in our system, and become ...
Annotation Judge information
What are the key skills and qualifications needed to thrive as an Annotation Judge, and why are they important?
To thrive as an Annotation Judge, you need strong analytical skills, attention to detail, and subject matter expertise relevant to the data being evaluated, usually supported by a degree in a related field. Familiarity with annotation platforms, data labeling tools, and quality assurance systems is typically required. Excellent communication, impartiality, and critical thinking help you provide clear feedback and maintain high annotation standards. These skills are crucial to ensure data accuracy and consistency, which directly impact the performance of machine learning models.
What are some common challenges faced by Annotation Judges, and how can they effectively overcome them?
Annotation Judges often face challenges such as maintaining impartiality, handling ambiguous or subjective data, and ensuring high consistency across large volumes of work. To overcome these, it’s essential to follow established guidelines closely, communicate regularly with team members for clarification, and participate in calibration sessions. Staying detail-oriented and seeking feedback can also help maintain accuracy and fairness in their assessments.
What is an Annotation Judge?
An Annotation Judge is a professional who evaluates the quality and accuracy of labeled data, such as text, images, or audio, which has been annotated for use in machine learning and artificial intelligence projects. Their main responsibility is to review, verify, and ensure that the data annotations meet specific guidelines and standards. Annotation Judges play a critical role in improving the reliability of training datasets, which directly impacts the performance of AI systems. They often work closely with data annotators, quality assurance teams, and project managers to maintain high data quality.
What is the difference between Annotation Judge vs Data Annotator?
| Aspect | Annotation Judge | Data Annotator |
|---|---|---|
| Credentials | Typically requires basic education, sometimes certification in data labeling | Usually requires similar or less formal education, often on-the-job training |
| Work Environment | Office or remote, working with data labeling platforms | Office or remote, performing data labeling tasks |
| Industry Usage | Used across AI, machine learning, and data science projects | Common in AI, machine learning, and data preparation workflows |
| Search & Comparison Intent | Often compared for roles involving data review and quality control | Compared for entry-level data labeling roles |
The main difference between an Annotation Judge and a Data Annotator lies in their roles. Annotation Judges typically review and validate annotations made by Data Annotators, ensuring quality and accuracy. Data Annotators perform the initial labeling of data. Both roles are essential in AI data pipelines, with Annotation Judges focusing on quality control and Data Annotators on data preparation.
What are popular job titles related to Annotation Judge jobs in Reston, VA? For Annotation Judge jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Annotation Judge jobs in Reston, VA look for? The top searched job categories for Annotation Judge jobs in Reston, VA are:
What cities near Reston, VA are hiring for Annotation Judge jobs? Cities near Reston, VA with the most Annotation Judge job openings:
$26 - $28/hr
Full-time
Posted 2 days ago
Job description
Overview
Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.
This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs.
While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale.
We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.
Project Details
What You’ll Do- Job Title: Data Labeling Analyst
- Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
- Hours: Full-time, 40 hours per week
- Employment Type: W2 Full-Time Employee
- Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
- Pay Rate: $26 - $28/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.
- Execute high-volume data labeling and annotation tasks across speech and voice datasets
- Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
- Work with audio and language data, including transcription, categorization, and tagging
- Maintain strong throughput while meeting quality expectations
- Escalate unclear or ambiguous cases appropriately
- Adapt to evolving guidelines and workflows as systems and requirements change
- Support baseline data production needs for AI training pipelines
- Contribute to team calibrations and quality alignment sessions
- Native-level fluency in Italian
- Strong written communication skills and language fundamentals
- 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field.
- Ability to follow detailed instructions and apply guidelines consistently
- High attention to detail and ability to maintain accuracy in repetitive tasks
- Comfort working in structured, process-driven environments
- Ability to manage time effectively and maintain steady output
- Willingness to ask questions and escalate when needed
- Basic familiarity with AI, speech technology, or language data is a plus
- Paid Vacation: 6 days
- Paid Company Holidays: 2 days (Memorial Day and Labor Day)
- Paid Sick Leave: accrued per applicable state law and company policy
- Medical, Dental, and Vision Insurance (eligibility applies)
- Health Savings Account (HSA)
- 401(k) Retirement Plan
- Employee Assistance Program
- Additional voluntary benefits (life, accident, critical illness, etc.)
Onsite Perks (where applicable):
Free breakfast, lunch, and dinner
Stocked micro-kitchens with snacks and beverages
Commuter benefits, including shuttles and bike-to-work options
Unique campus features depending on location
Why This RoleFree breakfast, lunch, and dinner
Stocked micro-kitchens with snacks and beverages
Commuter benefits, including shuttles and bike-to-work options
Unique campus features depending on location
This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users.
It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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