Conduct detailed data annotation and quality assurance of natural language datasets following ... video verification with their selected IDs and provide photos of these selected IDs within their ...
Conduct detailed data annotation and quality assurance of natural language datasets following ... video verification with their selected IDs and provide photos of these selected IDs within their ...
... annotation workflows to support continuous model improvement. • Explore model compression, inference acceleration, and serving optimizations to enable efficient real-time video processing at scale.
... annotation workflows to support continuous model improvement. • Explore model compression, inference acceleration, and serving optimizations to enable efficient real-time video processing at scale.
Use proprietary annotation tools to label objects, poses, and interactions in images and video streams from our humanoid robots * Collaborate with ML engineers to refine labeling guidelines and ...
Use proprietary annotation tools to label objects, poses, and interactions in images and video streams from our humanoid robots * Collaborate with ML engineers to refine labeling guidelines and ...
... annotation workflows to support continuous model improvement. • Explore model compression, inference acceleration, and serving optimizations to enable efficient real-time video processing at scale.
... annotation workflows to support continuous model improvement. • Explore model compression, inference acceleration, and serving optimizations to enable efficient real-time video processing at scale.
Data Quality Analyst
San Jose, CA · On-site
$30/hr
Use proprietary annotation tools to label objects, poses, and interactions in images and video streams from our humanoid robots * Collaborate with ML engineers to refine labeling guidelines and ...
Data Quality Analyst
San Jose, CA · On-site
$30/hr
Use proprietary annotation tools to label objects, poses, and interactions in images and video streams from our humanoid robots * Collaborate with ML engineers to refine labeling guidelines and ...
VP of Engineering
San Francisco, CA · On-site
$212K - $273K/yr
Our systems span video ingestion, annotation and labeling pipelines, metadata enrichment, and data delivery, all designed to support high-volume, ML-driven use cases. This is a strategic leadership ...
VP of Engineering
San Francisco, CA · On-site
$212K - $273K/yr
Our systems span video ingestion, annotation and labeling pipelines, metadata enrichment, and data delivery, all designed to support high-volume, ML-driven use cases. This is a strategic leadership ...
Experience with video understanding (temporal consistency, tracking, video segmentation) * Experience with foundation models for data annotation * Experience with MLOps tooling (Weights & Biases ...
Experience with video understanding (temporal consistency, tracking, video segmentation) * Experience with foundation models for data annotation * Experience with MLOps tooling (Weights & Biases ...
Experience with video understanding (temporal consistency, tracking, video segmentation) * Experience with foundation models for data annotation * Experience with MLOps tooling (Weights & Biases ...
Quick apply
Experience with video understanding (temporal consistency, tracking, video segmentation) * Experience with foundation models for data annotation * Experience with MLOps tooling (Weights & Biases ...
Experience with video understanding (temporal consistency, tracking, video segmentation) * Experience with foundation models for data annotation * Experience with MLOps tooling (Weights & Biases ...
Experience with video understanding (temporal consistency, tracking, video segmentation) * Experience with foundation models for data annotation * Experience with MLOps tooling (Weights & Biases ...
Experience with video understanding (temporal consistency, tracking, video segmentation) * Experience with foundation models for data annotation * Experience with MLOps tooling (Weights & Biases ...
Experience with video understanding (temporal consistency, tracking, video segmentation) * Experience with foundation models for data annotation * Experience with MLOps tooling (Weights & Biases ...
Member of Technical Staff - Imagine Model
Palo Alto, CA · On-site
$180K - $440K/yr
... video experiences). * Improve data quality through annotation, filtering, augmentation, synthetic generation, captioning, and in-depth data studies, particularly for visual and audio data. * Design ...
Member of Technical Staff - Imagine Model
Palo Alto, CA · On-site
$180K - $440K/yr
... video experiences). * Improve data quality through annotation, filtering, augmentation, synthetic generation, captioning, and in-depth data studies, particularly for visual and audio data. * Design ...
Senior ML Data Project Manager
San Francisco, CA · On-site
$140K - $160K/yr
Our models have redefined the standards in video-language modeling, empowering us with more ... You will also be responsible for automating as much of the repetitive partnership, annotation, and ...
Senior ML Data Project Manager
San Francisco, CA · On-site
$140K - $160K/yr
Our models have redefined the standards in video-language modeling, empowering us with more ... You will also be responsible for automating as much of the repetitive partnership, annotation, and ...
AI Data Strategist
Redwood City, CA · On-site
$148K - $192K/yr
Experience with embodied AI, video, or time-series data. * Familiarity with evaluation pipelines, active learning, or data-centric AI. * Exposure to annotation tooling such as Labelbox, Scale, CVAT ...
AI Data Strategist
Redwood City, CA · On-site
$148K - $192K/yr
Experience with embodied AI, video, or time-series data. * Familiarity with evaluation pipelines, active learning, or data-centric AI. * Exposure to annotation tooling such as Labelbox, Scale, CVAT ...
Technical Program Manager, Dataset Operations
Santa Clara, CA · On-site
$151K - $196K/yr
Computer vision / video datasets * Robotics / embodied AI data * Autonomous driving datasets * Understanding of: * Annotation workflows * Data quality evaluation * Dataset biases and coverage ...
Technical Program Manager, Dataset Operations
Santa Clara, CA · On-site
$151K - $196K/yr
Computer vision / video datasets * Robotics / embodied AI data * Autonomous driving datasets * Understanding of: * Annotation workflows * Data quality evaluation * Dataset biases and coverage ...
Technical Program Manager, Dataset Operations
Santa Clara, CA · On-site
$151K - $196K/yr
Computer vision / video datasets * Robotics / embodied AI data * Autonomous driving datasets * Understanding of: * Annotation workflows * Data quality evaluation * Dataset biases and coverage ...
Technical Program Manager, Dataset Operations
Santa Clara, CA · On-site
$151K - $196K/yr
Computer vision / video datasets * Robotics / embodied AI data * Autonomous driving datasets * Understanding of: * Annotation workflows * Data quality evaluation * Dataset biases and coverage ...
Research Engineer, Multimodal
Redwood City, CA · On-site
$225K - $400K/yr
... annotation workflows to support continuous model improvement. * Explore model compression, inference acceleration, and serving optimizations to enable efficient real-time video processing at scale.
Research Engineer, Multimodal
Redwood City, CA · On-site
$225K - $400K/yr
... annotation workflows to support continuous model improvement. * Explore model compression, inference acceleration, and serving optimizations to enable efficient real-time video processing at scale.
Experience working with human feedback data collection and annotation pipelines * Strong aesthetic sense and understanding of video quality assessment * Familiarity with alignment techniques such as ...
Experience working with human feedback data collection and annotation pipelines * Strong aesthetic sense and understanding of video quality assessment * Familiarity with alignment techniques such as ...
Experience working with human feedback data collection and annotation pipelines * Strong aesthetic sense and understanding of video quality assessment * Familiarity with alignment techniques such as ...
Quick apply
Experience working with human feedback data collection and annotation pipelines * Strong aesthetic sense and understanding of video quality assessment * Familiarity with alignment techniques such as ...
Member of Technical Staff - Imagine Model
Palo Alto, CA · On-site
$180K - $440K/yr
... video experiences). * Improve data quality through annotation, filtering, augmentation, synthetic generation, captioning, and in-depth data studies, particularly for visual and audio data. * Design ...
Quick apply
Member of Technical Staff - Imagine Model
Palo Alto, CA · On-site
$180K - $440K/yr
... video experiences). * Improve data quality through annotation, filtering, augmentation, synthetic generation, captioning, and in-depth data studies, particularly for visual and audio data. * Design ...
Member of Technical Staff - Imagine Model
Palo Alto, CA · On-site
$180K - $440K/yr
... video experiences). * Improve data quality through annotation, filtering, augmentation, synthetic generation, captioning, and in-depth data studies, particularly for visual and audio data. * Design ...
Member of Technical Staff - Imagine Model
Palo Alto, CA · On-site
$180K - $440K/yr
... video experiences). * Improve data quality through annotation, filtering, augmentation, synthetic generation, captioning, and in-depth data studies, particularly for visual and audio data. * Design ...
Video Annotation information
What is a Video Annotation job?
A Video Annotation job involves labeling objects, activities, or events within videos to help train machine learning models. Annotators use specialized tools to draw bounding boxes, segment frames, or classify scenes to improve AI's ability to recognize visuals. This work is essential for applications like autonomous vehicles, facial recognition, and action recognition in AI systems.
Is video annotation hard?
Video annotation as a job involves labeling objects, actions, or scenes within videos, which requires attention to detail and familiarity with annotation tools. The difficulty depends on the complexity of the videos and the accuracy required, but it generally involves repetitive tasks that can be learned with practice.
Does data annotation really pay you?
Video annotation jobs typically pay hourly or per task rates, with earnings varying based on experience, complexity of the work, and platform. Many annotators earn between minimum wage and a few dollars per hour, but consistent, higher-paying opportunities often require specialized skills or certifications in data labeling tools.
What does a video annotator do?
A video annotator is responsible for labeling and tagging objects, actions, and other relevant features within video footage to help train machine learning models. They use specialized tools to ensure accurate and consistent annotations, often working with large datasets and following specific guidelines. This role requires attention to detail and knowledge of annotation software or platforms.
How to do video annotation?
Video annotation involves labeling objects, actions, or features within video frames using annotation tools or software. The process typically includes selecting relevant frames, drawing bounding boxes or masks, and assigning labels, often requiring attention to detail and knowledge of annotation guidelines. Skills in video editing, familiarity with annotation platforms, and understanding of the specific task are essential for accurate results.
What are the typical daily responsibilities of a Video Annotation specialist?
As a Video Annotation specialist, your daily tasks will generally involve watching video footage, identifying relevant objects or actions, and accurately labeling or tagging frames according to specific project guidelines. You may also review and validate annotations to ensure quality and consistency, collaborate with team members or project managers to clarify labeling instructions, and document any ambiguities or challenges encountered during annotation. Most roles are structured with clear targets or quotas for completed work, and you may work independently or as part of a larger team supporting AI development projects. The position requires strong concentration and the ability to handle repetitive tasks efficiently while maintaining high standards of accuracy.
What are the key skills and qualifications needed to thrive in the Video Annotation position, and why are they important?
To excel in Video Annotation, you need strong attention to detail, visual analysis skills, and familiarity with video processing concepts, often supported by a diploma or coursework in computer science or a related field. Knowledge of annotation tools such as CVAT, Labelbox, or VGG Image Annotator, and, in some cases, experience with basic scripting or data management platforms, is highly valued. Excellent focus, time management, and the ability to follow precise instructions help individuals stand out in this position. These abilities are crucial for ensuring the accuracy and quality of annotated video data, which directly impacts AI and machine learning model performance.
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 Video Annotation jobs in California? For Video Annotation jobs in California, the most frequently searched job titles are:
What job categories do people searching Video Annotation jobs in California look for? The top searched job categories for Video Annotation jobs in California are:
What cities in California are hiring for Video Annotation jobs? Cities in California with the most Video Annotation job openings:
Full-time
Medical, Dental, Vision, Life, Retirement
Posted 11 days ago
Key responsibilities
Test new AI products and provide actionable feedback to improve functionality and user experience.
Conduct detailed data annotation and quality assurance of natural language datasets following established guidelines.
Collaborate in updating and refining machine learning models to boost accuracy and effectiveness.
Job description
OVERVIEW
Welo Data is looking for a skilled Data Analyst to join our team and contribute to advancing AI technologies. This role offers a unique opportunity to engage directly with cutting-edge AI products, supporting the refinement and performance of machine learning models through precise data analysis and quality assurance.
Project Details
Job Title: Data Analyst
Location: Bay Area, CA (Onsite)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Must have valid work authorization in the US (Welocalize does not sponsor VISAs at this time).
This role is an incredible chance to be at the forefront of AI technology, helping shape the future by testing new products, updating machine learning models, and ensuring high-quality data for impactful AI solutions.
Key Responsibilities
Preferred Qualifications
Benefits
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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.
Welo Data is looking for a skilled Data Analyst to join our team and contribute to advancing AI technologies. This role offers a unique opportunity to engage directly with cutting-edge AI products, supporting the refinement and performance of machine learning models through precise data analysis and quality assurance.
Project Details
Job Title: Data Analyst
Location: Bay Area, CA (Onsite)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Must have valid work authorization in the US (Welocalize does not sponsor VISAs at this time).
This role is an incredible chance to be at the forefront of AI technology, helping shape the future by testing new products, updating machine learning models, and ensuring high-quality data for impactful AI solutions.
Key Responsibilities
- Test new AI products and provide actionable feedback to improve functionality and user experience.
- Conduct detailed data annotation and quality assurance of natural language datasets following established guidelines.
- Collaborate in updating and refining machine learning models to boost accuracy and effectiveness.
- Analyze data for consistency, relevancy, and alignment with project goals.
- Perform quality control to identify and report anomalies, error patterns, and discrepancies.
- Use basic data analysis methods to extract insights and support continuous improvement.
- Prepare clear and concise reports on findings, including observations on data quality, AI model performance, and user feedback.
Preferred Qualifications
- University degree in linguistics, translation, or a related field.
- 3-5 years of professional linguistics experience.
- Strong analytical skills with the ability to detect patterns and anomalies.
- Excellent communication skills and the ability to work collaboratively in a fast-paced environment.
- Adaptability to evolving priorities and project requirements.
Benefits
- Paid Sick Time & Paid Holiday (combined): 15 days
- Paid Holidays: Memorial Day and Labor Day
- Medical Insurance (subject to eligibility requirements)
- Dental Insurance
- Vision Insurance
- Health Savings Account (HSA)
- Voluntary Life Insurance
- Accident, Critical Illness, and Hospital Indemnity Insurance
- Telemedicine Benefit
- 401(k) Retirement Plan
- Employee Assistance Program
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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.