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 Annotation Technician
Kirkland, WA · On-site +1
... AI) and machine learning (ML). Q Analysts is headquartered in San Jose, CA with a presence ... Q Analysts is looking for Data Annotation Technicians to support Ground Truth Data Collection ...
Data Annotation Technician
Kirkland, WA · On-site +1
... AI) and machine learning (ML). Q Analysts is headquartered in San Jose, CA with a presence ... Q Analysts is looking for Data Annotation Technicians to support Ground Truth Data Collection ...
Data Scientist - Survey Design, Data Annotation, and Machine Learning Evaluation
Cupertino, CA · On-site
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 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.
Strategic Projects Lead -- Audio Data
$53 - $71.75/hr
Required : • 3-7+ years of experience in data operations, AI data delivery, annotation operations, localization project management, marketplace operations, program management, or similar roles. • ...
Strategic Projects Lead -- Audio Data
$53 - $71.75/hr
Required : • 3-7+ years of experience in data operations, AI data delivery, annotation operations, localization project management, marketplace operations, program management, or similar roles. • ...
Data Annotation Technician
Kirkland, WA · On-site
... AI) and machine learning (ML). Q Analysts is headquartered in San Jose, CA with a presence ... Q Analysts is looking for Data Annotation Technicians to support Ground Truth Data Collection ...
Data Annotation Technician
Kirkland, WA · On-site
... AI) and machine learning (ML). Q Analysts is headquartered in San Jose, CA with a presence ... Q Analysts is looking for Data Annotation Technicians to support Ground Truth Data Collection ...
Data Annotation Specialist
Menlo Park, CA · Remote
$20/hr
Prior experience in content moderation, data annotation, or policy enforcement roles. Technical ... AI tools.
Data Annotation Specialist
Menlo Park, CA · Remote
$20/hr
Prior experience in content moderation, data annotation, or policy enforcement roles. Technical ... AI tools.
Python Developer _ MRM & Data Annotation (AI/ML)
Charlotte, NC · On-site
$49 - $67.75/hr
Tata Consultancy Services is seeking a Python Developer specializing in MRM and Data Annotation within the AI/ML domain. The role involves building and maintaining Python pipelines, implementing MRM ...
Python Developer _ MRM & Data Annotation (AI/ML)
Charlotte, NC · On-site
$49 - $67.75/hr
Tata Consultancy Services is seeking a Python Developer specializing in MRM and Data Annotation within the AI/ML domain. The role involves building and maintaining Python pipelines, implementing MRM ...
Senior Imagery Analyst (Data Annotation)
$91K - $115K/yr
... AI/ML development. Responsibilities : * Provide quality assurance reviews of annotated geospatial ... geospatial data annotation * Proficiency in geospatial software tools (e.g., ArcGIS, QGIS)
Senior Imagery Analyst (Data Annotation)
$91K - $115K/yr
... AI/ML development. Responsibilities : * Provide quality assurance reviews of annotated geospatial ... geospatial data annotation * Proficiency in geospatial software tools (e.g., ArcGIS, QGIS)
Senior Imagery Analyst (Data Annotation)
Falls Church, VA · On-site
$91K - $115K/yr
... AI/ML development. Responsibilities : * Provide quality assurance reviews of annotated geospatial ... geospatial data annotation * Proficiency in geospatial software tools (e.g., ArcGIS, QGIS)
Senior Imagery Analyst (Data Annotation)
Falls Church, VA · On-site
$91K - $115K/yr
... AI/ML development. Responsibilities : * Provide quality assurance reviews of annotated geospatial ... geospatial data annotation * Proficiency in geospatial software tools (e.g., ArcGIS, QGIS)
Develop full-stack tooling and backend services for large-scale data annotation, validation, and ... Integrate AI services and APIs with robust error handling and edge case coverage * Identify ...
Develop full-stack tooling and backend services for large-scale data annotation, validation, and ... Integrate AI services and APIs with robust error handling and edge case coverage * Identify ...
Python Software Engineer - AI Workflows What if your Python expertise could directly shape the ... Develop full-stack tooling and backend services for large-scale data annotation, validation, and ...
New
Python Software Engineer - AI Workflows What if your Python expertise could directly shape the ... Develop full-stack tooling and backend services for large-scale data annotation, validation, and ...
New
Develop full-stack tooling and backend services for large-scale data annotation, validation, and ... Integrate AI services and APIs with robust error handling and edge case coverage * Identify ...
Develop full-stack tooling and backend services for large-scale data annotation, validation, and ... Integrate AI services and APIs with robust error handling and edge case coverage * Identify ...
Human Data Operations Strategist
San Francisco, CA · On-site
$150K - $230K/yr
Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams * Ensure the highest standards of data ...
Human Data Operations Strategist
San Francisco, CA · On-site
$150K - $230K/yr
Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams * Ensure the highest standards of data ...
Human Data Operations Strategist
San Francisco, CA · On-site
$130K - $210K/yr
Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams * Ensure the highest standards of data ...
Quick apply
Apply Early
Human Data Operations Strategist
San Francisco, CA · On-site
$130K - $210K/yr
Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams * Ensure the highest standards of data ...
Apply Early
$120K - $140K/yr
RWS Train AI helps our clients address this challenge head-on. With a seamless blend of ... Oversee complex workstreams including annotation, labeling, linguistic validation, data operations ...
$120K - $140K/yr
RWS Train AI helps our clients address this challenge head-on. With a seamless blend of ... Oversee complex workstreams including annotation, labeling, linguistic validation, data operations ...
$120K - $140K/yr
RWS Train AI helps our clients address this challenge head-on. With a seamless blend of ... Oversee complex workstreams including annotation, labeling, linguistic validation, data operations ...
$120K - $140K/yr
RWS Train AI helps our clients address this challenge head-on. With a seamless blend of ... Oversee complex workstreams including annotation, labeling, linguistic validation, data operations ...
Atlas Data Operations Annotation Manager
Waltham, MA · On-site
$115K - $140K/yr
... AI systems. This role spans software quality assurance, data quality strategy, and hands-on ... Annotation Quality & Operations * Own data quality end-to-end - defining standards, QA ...
Atlas Data Operations Annotation Manager
Waltham, MA · On-site
$115K - $140K/yr
... AI systems. This role spans software quality assurance, data quality strategy, and hands-on ... Annotation Quality & Operations * Own data quality end-to-end - defining standards, QA ...
Program Manager - Train AI Data Services
$120K - $140K/yr
RWS Train AI helps our clients address this challenge head-on. With a seamless blend of ... Oversee complex workstreams including annotation, labeling, linguistic validation, data operations ...
Program Manager - Train AI Data Services
$120K - $140K/yr
RWS Train AI helps our clients address this challenge head-on. With a seamless blend of ... Oversee complex workstreams including annotation, labeling, linguistic validation, data operations ...
Atlas Data Operations Annotation Manager
$115K - $140K/yr
... AI systems. This role spans software quality assurance, data quality strategy, and hands-on ... Annotation Quality & Operations * Own data quality end-to-end - defining standards, QA ...
Atlas Data Operations Annotation Manager
$115K - $140K/yr
... AI systems. This role spans software quality assurance, data quality strategy, and hands-on ... Annotation Quality & Operations * Own data quality end-to-end - defining standards, QA ...
Technical Program Manager, Data Engine
Redwood City, CA · On-site
$157K - $204K/yr
Technical skills to build tools for data annotation or collection * Ability to leverage AI to help improve productivity At Sunday Robotics, we're building technology shaped by real people - curious ...
Technical Program Manager, Data Engine
Redwood City, CA · On-site
$157K - $204K/yr
Technical skills to build tools for data annotation or collection * Ability to leverage AI to help improve productivity At Sunday Robotics, we're building technology shaped by real people - curious ...
Weekend Ai Data Annotation information
What are Weekend AI Data Annotators?
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 are some 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 key skills and qualifications needed to thrive as a Weekend AI Data Annotation Specialist, and why are they important?
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.
More about Weekend Ai Data Annotation jobs
What cities are hiring for Weekend Ai Data Annotation jobs? Cities with the most Weekend Ai Data Annotation job openings:
What are the most commonly searched types of Ai Data Annotation jobs? The most popular types of Ai Data Annotation jobs are:
What states have the most Weekend Ai Data Annotation jobs? States with the most job openings for Weekend Ai Data Annotation jobs include:
What job categories do people searching Weekend Ai Data Annotation jobs look for? The top searched job categories for Weekend Ai Data Annotation jobs are:
- From Home Medical Data Annotation
- Contract Data Annotation Analyst
- Flexible Medical Data Annotation
- Urgently Hiring Data Annotation Tech
- Data Annotation Tech Remote
- Freelance Ai Data Annotation
- Parttime Data Annotation Specialist
- Freelance Data Annotation Specialist
- Flexible Data Annotation Specialist
- Telecommute Medical Data Annotation
$141K - $258K/yr
Full-time
Medical, Dental, Retirement
Posted 12 days ago
Apple rating
8.1
Based on 666 frontline employees who took The Breakroom Quiz
5th 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