Conduct quality assurance checks to ensure accuracy, consistency, and compliance with annotation guidelines * Identify edge cases, inconsistencies, and quality issues in datasets and model outputs
Quick apply
Conduct quality assurance checks to ensure accuracy, consistency, and compliance with annotation guidelines * Identify edge cases, inconsistencies, and quality issues in datasets and model outputs
Conduct quality assurance checks to ensure accuracy, consistency, and compliance with annotation guidelines * Identify edge cases, inconsistencies, and quality issues in datasets and model outputs
Quick apply
Conduct quality assurance checks to ensure accuracy, consistency, and compliance with annotation guidelines * Identify edge cases, inconsistencies, and quality issues in datasets and model outputs
Conduct quality assurance checks to ensure accuracy, consistency, and compliance with annotation guidelines * Identify edge cases, inconsistencies, and quality issues in datasets and model outputs
Quick apply
Conduct quality assurance checks to ensure accuracy, consistency, and compliance with annotation guidelines * Identify edge cases, inconsistencies, and quality issues in datasets and model outputs
Familiarity with QA practices (inter-annotator agreement, spot checks, golden sets) * Knowledge of common annotation formats (e.g., COCO, YOLO, MOT/KITTI) and basic video concepts (frame rate, codecs)
Familiarity with QA practices (inter-annotator agreement, spot checks, golden sets) * Knowledge of common annotation formats (e.g., COCO, YOLO, MOT/KITTI) and basic video concepts (frame rate, codecs)
Computer Vision AI & ML Engineer
$127K - $149K/yr
Design labeling strategies and tooling for automated annotation, QA workflows, dataset management, augmentation, and versioning. * Implement monitoring and reliability frameworks, including ...
Computer Vision AI & ML Engineer
$127K - $149K/yr
Design labeling strategies and tooling for automated annotation, QA workflows, dataset management, augmentation, and versioning. * Implement monitoring and reliability frameworks, including ...
Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
Quick apply
Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
AI/ML Data Contributor
Los Angeles, CA · On-site
Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
AI/ML Data Contributor
Los Angeles, CA · On-site
Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
Strong understanding of AI/ML concepts, annotation workflows, and data quality assurance. Basic knowledge of SQL and/or Python for data querying and scripting. Ability to translate complex technical ...
Strong understanding of AI/ML concepts, annotation workflows, and data quality assurance. Basic knowledge of SQL and/or Python for data querying and scripting. Ability to translate complex technical ...
Conduct quality assurance checks to ensure accuracy, consistency, and compliance with annotation guidelines * Identify edge cases, inconsistencies, and quality issues in datasets and model outputs
Conduct quality assurance checks to ensure accuracy, consistency, and compliance with annotation guidelines * Identify edge cases, inconsistencies, and quality issues in datasets and model outputs
You will collaborate closely with algorithm engineers, machine learning researchers, QA, annotation teams, and cross-functional partners to shape evaluation strategy and improve the robustness ...
You will collaborate closely with algorithm engineers, machine learning researchers, QA, annotation teams, and cross-functional partners to shape evaluation strategy and improve the robustness ...
AI/ML Data Contributor
Los Angeles, CA · On-site
Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
AI/ML Data Contributor
Los Angeles, CA · On-site
Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
AI/ML Data Contributor
Los Angeles, CA · On-site
Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
AI/ML Data Contributor
Los Angeles, CA · On-site
Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
Act as a bridge between the annotation team and other departments, ensuring effective communication. Quality Assurance and Analysis: * Oversee quality assurance processes and set benchmarks for ...
Act as a bridge between the annotation team and other departments, ensuring effective communication. Quality Assurance and Analysis: * Oversee quality assurance processes and set benchmarks for ...
Act as a bridge between the annotation team and other departments, ensuring effective communication. Quality Assurance and Analysis: * Oversee quality assurance processes and set benchmarks for ...
Act as a bridge between the annotation team and other departments, ensuring effective communication. Quality Assurance and Analysis: * Oversee quality assurance processes and set benchmarks for ...
Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
Quick apply
Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
Computer Vision AI & ML Engineer
$127K - $149K/yr
Design labeling strategies and tooling for automated annotation, QA workflows, dataset management, augmentation, and versioning. * Implement monitoring and reliability frameworks, including ...
Computer Vision AI & ML Engineer
$127K - $149K/yr
Design labeling strategies and tooling for automated annotation, QA workflows, dataset management, augmentation, and versioning. * Implement monitoring and reliability frameworks, including ...
Sample datasets, create detailed guidelines, and ensure annotation quality through robust QA processes. * Vendor and Team Management : Coordinate with external providers and internal teams to ...
Sample datasets, create detailed guidelines, and ensure annotation quality through robust QA processes. * Vendor and Team Management : Coordinate with external providers and internal teams to ...
Sample datasets, create detailed guidelines, and ensure annotation quality through robust QA processes. Vendor and Team Management: Coordinate with external providers and internal teams to ensure ...
Sample datasets, create detailed guidelines, and ensure annotation quality through robust QA processes. Vendor and Team Management: Coordinate with external providers and internal teams to ensure ...
Sample datasets, create detailed guidelines, and ensure annotation quality through robust QA processes. * Vendor and Team Management : Coordinate with external providers and internal teams to ...
Sample datasets, create detailed guidelines, and ensure annotation quality through robust QA processes. * Vendor and Team Management : Coordinate with external providers and internal teams to ...
Annotation Qa information
What is the difference between Annotation Qa vs Data Labeler?
| Aspect | Annotation Qa | Data Labeler |
|---|---|---|
| Required Credentials | Basic technical skills, sometimes certifications in data annotation tools | Basic computer skills, sometimes certifications in labeling software |
| Work Environment | Office or remote, collaborative with annotation teams | Remote or on-site, focused on labeling tasks |
| Industry Usage | Used in AI, machine learning, and data annotation companies | Common in AI, machine learning, and data preparation sectors |
| Search & Comparison Intent | Often compared for quality assurance roles in data annotation | Compared for entry-level data preparation roles |
Annotation Qa and Data Labeler roles are closely related in the data annotation industry. Annotation Qa focuses on quality assurance, reviewing and verifying labeled data, while Data Labelers perform the initial labeling tasks. Both require similar technical skills and work environments, but Annotation Qa emphasizes quality control processes. Understanding these differences helps employers and job seekers identify the right role based on skills and career goals.
What are popular job titles related to Annotation Qa jobs in California? For Annotation Qa jobs in California, the most frequently searched job titles are:
What job categories do people searching Annotation Qa jobs in California look for? The top searched job categories for Annotation Qa jobs in California are:
What cities in California are hiring for Annotation Qa jobs? Cities in California with the most Annotation Qa job openings:
$136K/yr
Full-time
Posted 11 days ago
Job description
About the Role
RequirementsWe are looking for highly detail-oriented Generative AI Analysts to join our team onsite in San Jose, California. In this role, you will contribute to the development of cutting-edge AI technologies by supporting the annotation, evaluation, and quality review of multilingual and multimodal datasets used to train generative AI systems.
This position is ideal for candidates passionate about AI, language, data quality, and emerging technologies, with strong analytical skills and native-level Chinese proficiency.
What You’ll Do- Perform annotation and labeling tasks for Chinese generative AI datasets, including text, image, video, audio, and multimodal content
- Review and evaluate AI-generated prompts and responses across a variety of topics and use cases
- Conduct quality assurance checks to ensure accuracy, consistency, and compliance with annotation guidelines
- Identify edge cases, inconsistencies, and quality issues in datasets and model outputs
- Support data categorization, tagging, evaluation, and content review workflows for machine learning systems
- Assist in the creation and refinement of annotation guidelines and evaluation frameworks
- Collaborate with cross-functional teams to improve operational processes and annotation quality
- Provide feedback on tools, workflows, and annotation methodologies
- Native-level proficiency in Chinese and strong English communication skills (written and verbal)
- Excellent attention to detail and ability to follow complex guidelines and processes
- Strong interest in generative AI, machine learning, and emerging technologies
- Previous experience in data annotation, content review, quality assurance, or labeling operations is preferred
- Bachelor’s degree or equivalent practical experience
- Experience or academic background in Finance, STEM, Legal, Medical, Coding, or other specialized fields is highly valued.
- Ability to work onsite full-time in San Jose, CA
- Familiarity with generative AI systems, LLMs, RLHF, or multimodal AI workflows
- Experience evaluating prompts, responses, images, videos, or AI training datasets
- QA/testing experience within AI, data operations, or content moderation environments
- Experience with taxonomy creation, evaluation rubrics, or dataset quality initiatives
- Python or scripting knowledge
- Additional language proficiency is a plus (Korean, Japanese, Mandarin, Spanish, German, French, etc.)
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.
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