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Full Time Video Annotation information

What are some common challenges faced in a full-time video annotation role, and how can they be addressed?

A common challenge in full-time video annotation is maintaining high accuracy and consistency while labeling large volumes of video data, which can be repetitive and mentally demanding. Annotators must stay focused to avoid errors, especially when distinguishing subtle differences between objects or actions across frames. To address these challenges, it's helpful to take regular short breaks, collaborate with teammates on ambiguous cases, and make use of detailed annotation guidelines provided by the employer. Many companies also offer feedback sessions and quality assurance checks to help annotators improve their work and learn best practices.

What is a Full Time Video Annotation job?

A Full Time Video Annotation job involves watching video footage and labeling or tagging specific objects, actions, or events within the video. This work is essential for training artificial intelligence and machine learning models, especially in areas like self-driving cars, security, and content moderation. Full-time annotators are expected to maintain high accuracy and consistency while working with large volumes of data. The job may require familiarity with specialized annotation tools, attention to detail, and sometimes, a basic understanding of the domain featured in the videos.

What is the difference between Full Time Video Annotation vs Data Labeling Specialist?

AspectFull Time Video AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; training in annotation toolsHigh school diploma or equivalent; training in labeling techniques
Work EnvironmentRemote or office-based, using annotation softwareRemote or office-based, using labeling platforms
Industry UsageAutonomous vehicles, AI training, surveillanceMachine learning, AI datasets, computer vision

Full Time Video Annotation involves detailed labeling of video data for AI training, often requiring specific software skills. Data Labeling Specialists focus on annotating various data types, including images and text. Both roles are essential in AI development, but Full Time Video Annotation emphasizes video-specific tasks and tools.

What are the key skills and qualifications needed to thrive as a Full Time Video Annotation Specialist, and why are they important?

To thrive as a Full Time Video Annotation Specialist, you need strong attention to detail, familiarity with video formats, and basic computer literacy, often supported by a high school diploma or equivalent. Experience using annotation tools like CVAT, Labelbox, or VGG Image Annotator is typically required, and knowledge of data labeling standards is a plus. Excellent time management, communication skills, and the ability to focus for extended periods make someone stand out in this position. These skills and qualities are vital for producing accurate, high-quality datasets that power machine learning and AI applications.
What are the most commonly searched types of Video Annotation jobs in California? The most popular types of Video Annotation jobs in California are:
What are popular job titles related to Full Time Video Annotation jobs in California? For Full Time Video Annotation jobs in California, the most frequently searched job titles are:
What job categories do people searching Full Time Video Annotation jobs in California look for? The top searched job categories for Full Time Video Annotation jobs in California are:
What cities in California are hiring for Full Time Video Annotation jobs? Cities in California with the most Full Time Video Annotation job openings:
Full Time Video Annotation jobs near you
Project Perseus \u007C Data Labeling Associate - Arabic Speakers (Human-in-the-Loop AI)

Project Perseus \u007C Data Labeling Associate - Arabic Speakers (Human-in-the-Loop AI)

Welo Data

Los Angeles, CA • On-site

$34/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Overview

Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate.

This is not a traditional annotation role.

You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines.

We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders.

Project Details

  • Job Title: Data Labeling Associate
  • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston
  • 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: $34/hour
  • Contract Duration: 1-year contract with possibility of extension
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: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.
What You’ll Do
  • Evaluate AI model outputs and provide structured, high-quality feedback
  • Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes
  • Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios
  • Contribute to improving evaluation frameworks, not just executing them
  • Identify trends in model performance and communicate insights clearly
  • Participate in team discussions, calibrations, and stakeholder syncs
  • Partner with leads and cross-functional teams to refine quality standards
  • Document findings in a clear, concise, and actionable way
What We’re Looking For
  • Native-level language proficiency and a university degree (Bachelor’s or higher).
  • B2 or superior level of English.  
  • 1–2 years of professional writing experience with strong, structured writing skills
  • Ability to apply complex writing rules and guidelines consistently
  • Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience
  • Strong critical thinking and attention to detail
  • Ability to make sound judgment calls in ambiguous situations
  • Naturally curious about AI, technology, and how systems behave
  • Comfortable speaking up, asking questions, and contributing ideas
  • Strong written and verbal communication skills
  • Ability to stay consistent while working with evolving guidelines
  • Experience in data quality, QA, annotation, or analysis is helpful — but not required
Benefits
  • 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.)
  • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
  • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
  • Unique Campus Features: Some locations include roof-top nature parks
  • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
Why This Role

This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

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.

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.