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.
Data Scientist - Survey Design, Data Annotation, and Machine Learning Evaluation
Cupertino, CA · On-site
This person willwork closely with ML Engineers to manage and analyze our human and automated ... A successful candidate is experienced in survey design, data annotation, LLMprompt engineering and ...
Data Scientist - Survey Design, Data Annotation, and Machine Learning Evaluation
Cupertino, CA · On-site
This person willwork closely with ML Engineers to manage and analyze our human and automated ... A successful candidate is experienced in survey design, data annotation, LLMprompt engineering and ...
Own and scale the full operations lifecycle for robotics data collection, from physical setups to contractor management and annotation pipelines * Drive data operations programs collaborating with ...
Own and scale the full operations lifecycle for robotics data collection, from physical setups to contractor management and annotation pipelines * Drive data operations programs collaborating with ...
Description As Senior Manager of QA for Data Annotation, you will own the end-to-end quality assurance strategy for annotation pipelines that feed directly into Apple's AI and machine learning models.
Description As Senior Manager of QA for Data Annotation, you will own the end-to-end quality assurance strategy for annotation pipelines that feed directly into Apple's AI and machine learning models.
As Senior Manager of QA for Data Annotation, you will own the end-to-end quality assurance strategy for annotation pipelines that feed directly into Apple's AI and machine learning models. You will ...
As Senior Manager of QA for Data Annotation, you will own the end-to-end quality assurance strategy for annotation pipelines that feed directly into Apple's AI and machine learning models. You will ...
Technical Program Manager, Data
San Francisco, CA · On-site
$152K - $196K/yr
They are seeking a Senior Technical Program Manager to lead their data collection and annotation initiatives, ensuring the delivery of high-quality data while collaborating with research and product ...
Technical Program Manager, Data
San Francisco, CA · On-site
$152K - $196K/yr
They are seeking a Senior Technical Program Manager to lead their data collection and annotation initiatives, ensuring the delivery of high-quality data while collaborating with research and product ...
Technical Program Manager, Data Engine
Redwood City, CA · On-site
$157K - $204K/yr
They are seeking a Technical Program Manager, Data Engine to oversee data annotation and collection processes, ensuring high-quality data delivery for machine learning experiments. Responsibilities ...
Technical Program Manager, Data Engine
Redwood City, CA · On-site
$157K - $204K/yr
They are seeking a Technical Program Manager, Data Engine to oversee data annotation and collection processes, ensuring high-quality data delivery for machine learning experiments. Responsibilities ...
Area Manager SFO | $125,000-$150,000
$125K - $150K/yr
Ensures all site training is completed as required and ensures annotation in GlobalView or any ... Manages training compliance (240 min/week, 9 odors every 30 days, 4 -5 drop aids per shift) and ...
Area Manager SFO | $125,000-$150,000
$125K - $150K/yr
Ensures all site training is completed as required and ensures annotation in GlobalView or any ... Manages training compliance (240 min/week, 9 odors every 30 days, 4 -5 drop aids per shift) and ...
Technical Program Manager III
Mountain View, CA · On-site
$152K - $197K/yr
The Client's R&D Operations Organization is seeking a highly motivated and technically skilled Technical Program Manager (TPM) to lead and oversee data annotation programs that power our cutting-edge ...
Technical Program Manager III
Mountain View, CA · On-site
$152K - $197K/yr
The Client's R&D Operations Organization is seeking a highly motivated and technically skilled Technical Program Manager (TPM) to lead and oversee data annotation programs that power our cutting-edge ...
Manage all internal and third-party annotation projects, from requirements gathering to final data delivery. * Define Ontologies and Standards: Work with product and engineering teams to translate ...
Manage all internal and third-party annotation projects, from requirements gathering to final data delivery. * Define Ontologies and Standards: Work with product and engineering teams to translate ...
Technical Program Manager, Data
San Francisco, CA · On-site
$200K - $260K/yr
Lead audio data collection and annotation efforts at Sesame. * Collaborate with research and product teams to understand and formalize their requirements. * Identify and manage internal resources and ...
Technical Program Manager, Data
San Francisco, CA · On-site
$200K - $260K/yr
Lead audio data collection and annotation efforts at Sesame. * Collaborate with research and product teams to understand and formalize their requirements. * Identify and manage internal resources and ...
Manage all internal and third-party annotation projects, from requirements gathering to final data delivery. * Define Ontologies and Standards : Work with product and engineering teams to translate ...
Manage all internal and third-party annotation projects, from requirements gathering to final data delivery. * Define Ontologies and Standards : Work with product and engineering teams to translate ...
Manage all internal and third-party annotation projects, from requirements gathering to final data delivery. Define Ontologies and Standards: Work with product and engineering teams to translate ...
Manage all internal and third-party annotation projects, from requirements gathering to final data delivery. Define Ontologies and Standards: Work with product and engineering teams to translate ...
Manage all internal and third-party annotation projects, from requirements gathering to final data delivery. * Define Ontologies and Standards : Work with product and engineering teams to translate ...
Manage all internal and third-party annotation projects, from requirements gathering to final data delivery. * Define Ontologies and Standards : Work with product and engineering teams to translate ...
This role sits at the intersection of program management, data operations, and AI/ML, and will play a pivotal part in ensuring that our data annotation efforts are scalable, high-quality, and aligned ...
This role sits at the intersection of program management, data operations, and AI/ML, and will play a pivotal part in ensuring that our data annotation efforts are scalable, high-quality, and aligned ...
Human Data Operations Strategist
San Francisco, CA · On-site
$150K - $230K/yr
The role As a Human Data Operations Strategist, you will play a critical role in managing and optimising data annotation and machine learning workflows for our clients. You will work closely with ...
Human Data Operations Strategist
San Francisco, CA · On-site
$150K - $230K/yr
The role As a Human Data Operations Strategist, you will play a critical role in managing and optimising data annotation and machine learning workflows for our clients. You will work closely with ...
Human Data Operations Strategist
San Francisco, CA · On-site
$150K - $230K/yr
The role As a Human Data Operations Strategist, you will play a critical role in managing and optimising data annotation and machine learning workflows for our clients. You will work closely with ...
Quick apply
Human Data Operations Strategist
San Francisco, CA · On-site
$150K - $230K/yr
The role As a Human Data Operations Strategist, you will play a critical role in managing and optimising data annotation and machine learning workflows for our clients. You will work closely with ...
Human Data Solutions Engineer
San Francisco, CA · On-site
$134K - $162K/yr
Manage end-to-end delivery of small-scale annotation POCs -- translating complex AI requirements into clear instructions for annotation specialists, auditing outputs, and iterating on quality until ...
Quick apply
Human Data Solutions Engineer
San Francisco, CA · On-site
$134K - $162K/yr
Manage end-to-end delivery of small-scale annotation POCs -- translating complex AI requirements into clear instructions for annotation specialists, auditing outputs, and iterating on quality until ...
Technical Program Manager - Data Operations
San Mateo, CA · On-site
$146K - $190K/yr
Own and scale the full lifecycle for products pertaining to robotics data collection, labelling and annotation from physical setups to contractor management and annotation pipelines. * Drive data ...
Technical Program Manager - Data Operations
San Mateo, CA · On-site
$146K - $190K/yr
Own and scale the full lifecycle for products pertaining to robotics data collection, labelling and annotation from physical setups to contractor management and annotation pipelines. * Drive data ...
Investigate annotation faults by querying databases directly to identify root causes, moving beyond ... Manage the processes for quality management/processes for the offshore annotation team * Being the ...
Investigate annotation faults by querying databases directly to identify root causes, moving beyond ... Manage the processes for quality management/processes for the offshore annotation team * Being the ...
Manager Annotation information
What are the key skills and qualifications needed to thrive as a Manager Annotation, and why are they important?
To thrive as a Manager Annotation, you need expertise in data annotation processes, team leadership, and quality assurance, often supported by a relevant degree and experience in data labeling or AI/ML projects. Familiarity with annotation tools (such as Labelbox, Supervisely, or AWS SageMaker Ground Truth), project management software, and sometimes certifications in project management or data science are valuable. Strong communication, problem-solving abilities, and attention to detail help ensure effective team coordination and high-quality data outputs. These skills are crucial for delivering accurate training data, meeting project deadlines, and supporting the success of machine learning initiatives.
What are Manager Annotation jobs?
Manager Annotation jobs involve overseeing teams responsible for labeling and annotating data, which is critical for training machine learning models. These managers coordinate workflows, ensure quality control, and facilitate communication between annotators and data scientists. They are responsible for setting guidelines, managing deadlines, and addressing any issues that arise during the annotation process. Manager Annotation roles often require a combination of leadership skills and an understanding of data annotation tools and processes.
What is the difference between Manager Annotation vs Data Annotator?
| Aspect | Manager Annotation | Data Annotator |
|---|---|---|
| Required Credentials | High school diploma or equivalent; experience in data labeling; leadership skills | High school diploma or equivalent; attention to detail; basic computer skills |
| Work Environment | Office or remote management setting overseeing annotation teams | Remote or on-site data labeling tasks |
| Employer & Industry Usage | Tech companies, AI firms, data service providers | AI, machine learning, data processing companies |
The main difference is that a Manager Annotation oversees annotation teams and manages projects, requiring leadership and management skills, while a Data Annotator performs the actual data labeling work, focusing on accuracy and attention to detail. Managers coordinate workflows, whereas Annotators execute labeling tasks.
What are some common challenges faced by a Manager Annotation and how can they be addressed?
A Manager Annotation often encounters challenges such as ensuring high-quality data labeling, managing tight project deadlines, and maintaining effective communication across diverse annotation teams. Balancing quality control with efficiency can be demanding, especially when working with large datasets or remote teams. To address these challenges, it is helpful to establish clear annotation guidelines, implement robust quality assurance processes, and foster open communication channels for feedback and support. Regular training and performance reviews also play a key role in maintaining team standards and project consistency.
What are the most commonly searched types of Annotation jobs in California? The most popular types of Annotation jobs in California are:
What are popular job titles related to Manager Annotation jobs in California? For Manager Annotation jobs in California, the most frequently searched job titles are:
What job categories do people searching Manager Annotation jobs in California look for? The top searched job categories for Manager Annotation jobs in California are:
What cities in California are hiring for Manager Annotation jobs? Cities in California with the most Manager Annotation job openings:
$141K - $258K/yr
Full-time
Medical, Dental, Retirement
Posted 26 days ago
Apple rating
8.1
Based on 661 frontline employees who took The Breakroom Quiz
6th of 30 rated technology retailers
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 $141,800 and $258,600, 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 $141,800 and $258,600, 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