This person will work closely with ML Engineers to manage and analyze our human and automated data annotation processes, and to develop, test, and refine LLM judges for generative AI model evaluation.
This person will work closely with ML Engineers to manage and analyze our human and automated data annotation processes, and to develop, test, and refine LLM judges for generative AI model evaluation.
ML Systems Engineer, Data Labeling Engineering - Early Career
Sunnyvale, CA · On-site
$136K - $163K/yr
Preferred experience with computer vision, machine learning, data-centric AI, data annotation, data quality, or autolabeling workflows * Preferred familiarity with data labeling or annotation ...
New
ML Systems Engineer, Data Labeling Engineering - Early Career
Sunnyvale, CA · On-site
$136K - $163K/yr
Preferred experience with computer vision, machine learning, data-centric AI, data annotation, data quality, or autolabeling workflows * Preferred familiarity with data labeling or annotation ...
New
Through its patented AI technology, Zefr offers brands and agencies more accurate and transparent ... We are hiring a Multilingual Data Annotation Specialist to support the training and performance of ...
Through its patented AI technology, Zefr offers brands and agencies more accurate and transparent ... We are hiring a Multilingual Data Annotation Specialist to support the training and performance of ...
Project Co-ordinator - Data Collection
San Francisco, CA · On-site
$60K - $90K/yr
About DATAmundi.ai DATAmundi.ai is a global leader in high-quality data services, including data collection, data labeling, annotation, benchmarking, and data enrichment. We enable AI innovators to ...
Project Co-ordinator - Data Collection
San Francisco, CA · On-site
$60K - $90K/yr
About DATAmundi.ai DATAmundi.ai is a global leader in high-quality data services, including data collection, data labeling, annotation, benchmarking, and data enrichment. We enable AI innovators to ...
Project Co-ordinator - Data Collection
$60.25 - $81.50/hr
About DATAmundi.ai DATAmundi.ai is a global leader in high-quality data services, including data collection, data labeling, annotation, benchmarking, and data enrichment. We enable AI innovators to ...
Project Co-ordinator - Data Collection
$60.25 - $81.50/hr
About DATAmundi.ai DATAmundi.ai is a global leader in high-quality data services, including data collection, data labeling, annotation, benchmarking, and data enrichment. We enable AI innovators to ...
Video Annotation Expert - Remote
Palo Alto, CA · Remote
$15 - $20/hr
Video Annotation Expert Role Type: Contractor Location: Remote About the Role We are looking for ... You'll review video data, validate annotations, and provide feedback to improve AI understanding of ...
New
Quick apply
Video Annotation Expert - Remote
Palo Alto, CA · Remote
$15 - $20/hr
Video Annotation Expert Role Type: Contractor Location: Remote About the Role We are looking for ... You'll review video data, validate annotations, and provide feedback to improve AI understanding of ...
New
Video Annotation Expert - Remote
Los Angeles, CA · Remote
$50 - $90/hr
The role involves accurate video labeling and structured data annotation to support AI and machine-learning projects. Key Responsibilities * Review videos and identify key actions, events, and ...
New
Quick apply
Video Annotation Expert - Remote
Los Angeles, CA · Remote
$50 - $90/hr
The role involves accurate video labeling and structured data annotation to support AI and machine-learning projects. Key Responsibilities * Review videos and identify key actions, events, and ...
New
Video Annotation Expert - Remote
San Francisco, CA · Remote
$50 - $90/hr
The role involves accurate video labeling and structured data annotation to support AI and machine-learning projects. Key Responsibilities * Review videos and identify key actions, events, and ...
New
Quick apply
Video Annotation Expert - Remote
San Francisco, CA · Remote
$50 - $90/hr
The role involves accurate video labeling and structured data annotation to support AI and machine-learning projects. Key Responsibilities * Review videos and identify key actions, events, and ...
New
Video Annotation Expert - Remote
San Jose, CA · Remote
$50 - $90/hr
The role involves accurate video labeling and structured data annotation to support AI and machine-learning projects. Key Responsibilities * Review videos and identify key actions, events, and ...
New
Quick apply
Video Annotation Expert - Remote
San Jose, CA · Remote
$50 - $90/hr
The role involves accurate video labeling and structured data annotation to support AI and machine-learning projects. Key Responsibilities * Review videos and identify key actions, events, and ...
New
Video Annotation Expert - Remote
San Francisco, CA · Remote
$15 - $20/hr
Video Annotation Expert Role Type: Contractor Location: Remote About the Role We are looking for ... You'll review video data, validate annotations, and provide feedback to improve AI understanding of ...
New
Quick apply
Video Annotation Expert - Remote
San Francisco, CA · Remote
$15 - $20/hr
Video Annotation Expert Role Type: Contractor Location: Remote About the Role We are looking for ... You'll review video data, validate annotations, and provide feedback to improve AI understanding of ...
New
Video Annotation Expert - Remote
Los Angeles, CA · Remote
$15 - $20/hr
Video Annotation Expert Role Type: Contractor Location: Remote About the Role We are looking for ... You'll review video data, validate annotations, and provide feedback to improve AI understanding of ...
New
Quick apply
Video Annotation Expert - Remote
Los Angeles, CA · Remote
$15 - $20/hr
Video Annotation Expert Role Type: Contractor Location: Remote About the Role We are looking for ... You'll review video data, validate annotations, and provide feedback to improve AI understanding of ...
New
Video Annotation Expert - Remote
Palo Alto, CA · Remote
$50 - $90/hr
The role involves accurate video labeling and structured data annotation to support AI and machine-learning projects. Key Responsibilities * Review videos and identify key actions, events, and ...
New
Quick apply
Video Annotation Expert - Remote
Palo Alto, CA · Remote
$50 - $90/hr
The role involves accurate video labeling and structured data annotation to support AI and machine-learning projects. Key Responsibilities * Review videos and identify key actions, events, and ...
New
Technical Program Manager, Human Data Annotation (Code)
Palo Alto, CA · On-site
$152K - $196K/yr
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools ... Drive human data annotation campaigns, from scoping through delivery, balancing data needs, budget ...
Technical Program Manager, Human Data Annotation (Code)
Palo Alto, CA · On-site
$152K - $196K/yr
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools ... Drive human data annotation campaigns, from scoping through delivery, balancing data needs, budget ...
Video Annotation Expert - Remote
San Jose, CA · Remote
$15 - $20/hr
Video Annotation Expert Role Type: Contractor Location: Remote About the Role We are looking for ... You'll review video data, validate annotations, and provide feedback to improve AI understanding of ...
New
Quick apply
Video Annotation Expert - Remote
San Jose, CA · Remote
$15 - $20/hr
Video Annotation Expert Role Type: Contractor Location: Remote About the Role We are looking for ... You'll review video data, validate annotations, and provide feedback to improve AI understanding of ...
New
Join us to shape the next frontier of AI-driven robotics! Dyna Robotics makes general-purpose ... As a Data Annotation Specialist at Dyna Robotics, you will be pivotal in iterating on our AI system ...
Join us to shape the next frontier of AI-driven robotics! Dyna Robotics makes general-purpose ... As a Data Annotation Specialist at Dyna Robotics, you will be pivotal in iterating on our AI system ...
Helix AI Engineer, Data Infrastructure
San Jose, CA · On-site
$126K - $165K/yr
... building data annotation and dataset management tools. Company : Figure is an AI robotics company that develops autonomous general-purpose humanoid robots. Founded in 2022, the company is ...
Helix AI Engineer, Data Infrastructure
San Jose, CA · On-site
$126K - $165K/yr
... building data annotation and dataset management tools. Company : Figure is an AI robotics company that develops autonomous general-purpose humanoid robots. Founded in 2022, the company is ...
Project Co-ordinator - Data Collection
San Francisco, CA · On-site
$61 - $82.50/hr
About DATAmundi.ai DATAmundi.ai is a global leader in high-quality data services, including data collection, data labeling, annotation, benchmarking, and data enrichment. We enable AI innovators to ...
Project Co-ordinator - Data Collection
San Francisco, CA · On-site
$61 - $82.50/hr
About DATAmundi.ai DATAmundi.ai is a global leader in high-quality data services, including data collection, data labeling, annotation, benchmarking, and data enrichment. We enable AI innovators to ...
Helix AI Engineer, Data Infrastructure
San Jose, CA · On-site
$126K - $165K/yr
... building data annotation and dataset management tools. Company : Figure is an AI robotics company that develops autonomous general-purpose humanoid robots. Founded in 2022, the company is ...
Helix AI Engineer, Data Infrastructure
San Jose, CA · On-site
$126K - $165K/yr
... building data annotation and dataset management tools. Company : Figure is an AI robotics company that develops autonomous general-purpose humanoid robots. Founded in 2022, the company is ...
Helix AI Engineer, Data Infrastructure
San Jose, CA · On-site
$126K - $165K/yr
... building data annotation and dataset management tools. Company : Figure is an AI robotics company that develops autonomous general-purpose humanoid robots. Founded in 2022, the company is ...
Helix AI Engineer, Data Infrastructure
San Jose, CA · On-site
$126K - $165K/yr
... building data annotation and dataset management tools. Company : Figure is an AI robotics company that develops autonomous general-purpose humanoid robots. Founded in 2022, the company is ...
Expert Operations
Mountain View, CA · On-site
$80K - $130K/yr
Experience working on AI data projects involving annotation, model evaluation, RLHF, preference ranking, or human feedback is highly preferred. * Excellent communication and interpersonal skills with ...
Expert Operations
Mountain View, CA · On-site
$80K - $130K/yr
Experience working on AI data projects involving annotation, model evaluation, RLHF, preference ranking, or human feedback is highly preferred. * Excellent communication and interpersonal skills with ...
Weekend Ai Data Annotation information
What is a Weekend AI Data Annotation specialist?
Weekend AI Data Annotators are professionals who label, categorize, and tag data—such as images, audio, or text—for use in training artificial intelligence models, specifically working on weekends. Their work ensures that machine learning algorithms receive high-quality, accurately labeled datasets for tasks like computer vision, natural language processing, or speech recognition. This role often involves using specialized annotation tools and following precise guidelines to maintain consistency and accuracy. Weekend annotators may work remotely or on-site, and their contributions are vital for improving AI system performance.
What skills and qualifications are needed to thrive as a Weekend AI Data Annotation specialist?
To thrive as a Weekend AI Data Annotation Specialist, you need attention to detail, strong analytical skills, and familiarity with data labeling processes, often supported by a high school diploma or post-secondary coursework in a technical field. Proficiency with annotation platforms like Labelbox, Supervisely, or internal company tools is typically required, along with basic knowledge of data privacy protocols. Reliability, time management, and effective communication are crucial soft skills for meeting project deadlines and collaborating with remote teams. These skills and qualities ensure the accuracy and efficiency of annotated datasets, which are essential for high-performing AI systems.
What are common challenges faced by Weekend AI Data Annotation specialists, and how can they be managed?
Weekend AI Data Annotation specialists often encounter challenges such as maintaining high attention to detail during repetitive tasks and managing productivity over long annotation sessions. Since the work is typically remote or semi-remote, self-motivation and effective time management are crucial to meet project deadlines. It's helpful to take regular breaks, communicate proactively with team leads when questions arise, and make use of any annotation guidelines or quality assurance feedback provided. Collaborating with teammates through chat platforms or project management tools can also enhance consistency and resolve uncertainties quickly.
What are the most commonly searched types of Ai Data Annotation jobs in California?
The most popular types of Ai Data Annotation jobs in California are:
What are popular job titles related to Weekend Ai Data Annotation jobs in California?
For Weekend Ai Data Annotation jobs in California, the most frequently searched job titles are:
What job categories do people searching Weekend Ai Data Annotation jobs in California look for?
The top searched job categories for Weekend Ai Data Annotation jobs in California are:
What cities in California are hiring for Weekend Ai Data Annotation jobs?
Cities in California with the most Weekend Ai Data Annotation job openings:
Data Scientist - Survey Design, Data Annotation, and Machine Learning Evaluation
Cupertino, CA
Apple
• Computer and Electronic Product Manufacturing • 10K+ employees10,000+ employees
$150K - $277K/yr
Full-time
Medical, Dental, Retirement
Re-posted 25 days ago
Key responsibilities
Work closely with ML Engineers to understand data annotation needs
Design and manage data annotation processes, including developing user instructions and improving annotation pipelines
Develop LLM auto-judges and judging criteria for generative AI model evaluation
Apple rating
8.1
Based on 685 frontline employees who took The Breakroom Quiz
Job description
Apple is where individual imaginations gather together, committing to the values that lead to
great work. Every new product we build, service we create, or experience we deliver is the
result of us making each other’s ideas stronger. The diversity of our people and their thinking
inspires the innovation that runs through everything we do. When we bring everybody in, we
can do the best work of our lives. Here, you’ll do more than join something - you’ll add
something.
Description
The Special Projects team at Apple is developing novel user-facing conversational features that
leverage the multimodal capabilities of state-of-the-art foundation models. As part of this
process, we generate real-world and simulated data, gather human data annotations, analyze
the results, and use them to build and evaluate Large Language Model judges. We are looking
for a skilled Data Scientist to join our Machine Learning Evaluations teams. This person will
work closely with ML Engineers to manage and analyze our human and automated data
annotation processes, and to develop, test, and refine LLM judges for generative AI model
evaluation. A successful candidate is experienced in survey design, data annotation, LLM
prompt engineering and prompt optimization, and has strong statistical analysis skills.","responsibilities":"Work closely with ML Engineers to understand data annotation needs
Design and manage data annotation processes, including the development of user
instructions, annotation pipeline processing, and process improvement
Develop LLM auto-judges and judging criteria for generative AI model evaluation
Analyze collected data annotations to assess and refine LLM auto-judges
Preferred Qualifications
PhD in Data Science, Statistics, or a quantitative social science field
Hands-on industry experience with product-focused statistical analysis
Experience working with large-scale multimodal data and data-annotation pipelines
Experience with LLM prompt engineering & prompt optimization
Experience with LLM auto-judges for generative AI model evaluation
A track record of publications or technical presentations in Data Science or a related field
Excellent at cross-functional collaboration
Minimum Qualifications
BA or Master’s degree in Data Science, Statistics, or a quantitative social science field
2+ years of hands-on experience working in survey design and human data annotation
Proficiency in Python
Excellent communication skills
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
great work. Every new product we build, service we create, or experience we deliver is the
result of us making each other’s ideas stronger. The diversity of our people and their thinking
inspires the innovation that runs through everything we do. When we bring everybody in, we
can do the best work of our lives. Here, you’ll do more than join something - you’ll add
something.
Description
The Special Projects team at Apple is developing novel user-facing conversational features that
leverage the multimodal capabilities of state-of-the-art foundation models. As part of this
process, we generate real-world and simulated data, gather human data annotations, analyze
the results, and use them to build and evaluate Large Language Model judges. We are looking
for a skilled Data Scientist to join our Machine Learning Evaluations teams. This person will
work closely with ML Engineers to manage and analyze our human and automated data
annotation processes, and to develop, test, and refine LLM judges for generative AI model
evaluation. A successful candidate is experienced in survey design, data annotation, LLM
prompt engineering and prompt optimization, and has strong statistical analysis skills.","responsibilities":"Work closely with ML Engineers to understand data annotation needs
Design and manage data annotation processes, including the development of user
instructions, annotation pipeline processing, and process improvement
Develop LLM auto-judges and judging criteria for generative AI model evaluation
Analyze collected data annotations to assess and refine LLM auto-judges
Preferred Qualifications
PhD in Data Science, Statistics, or a quantitative social science field
Hands-on industry experience with product-focused statistical analysis
Experience working with large-scale multimodal data and data-annotation pipelines
Experience with LLM prompt engineering & prompt optimization
Experience with LLM auto-judges for generative AI model evaluation
A track record of publications or technical presentations in Data Science or a related field
Excellent at cross-functional collaboration
Minimum Qualifications
BA or Master’s degree in Data Science, Statistics, or a quantitative social science field
2+ years of hands-on experience working in survey design and human data annotation
Proficiency in Python
Excellent communication skills
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
About Apple
Sourced by ZipRecruiter
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Cupertino, CA, US
Year founded
1976