... abuse across multiple modalities (text, image, audio). * Own the full ML lifecycle: from ... annotation systems. * Architect end-to-end systems for monitoring platform activity, detecting ...
... abuse across multiple modalities (text, image, audio). * Own the full ML lifecycle: from ... annotation systems. * Architect end-to-end systems for monitoring platform activity, detecting ...
Design and run training pipelines including data curation, annotation workflows, hyperparameter ... text, audio, and visual inputs * Knowledge of logging/monitoring stacks (Sentry, Langfuse) and ...
Design and run training pipelines including data curation, annotation workflows, hyperparameter ... text, audio, and visual inputs * Knowledge of logging/monitoring stacks (Sentry, Langfuse) and ...
Data Engineer, Scientific Data Ingestion
San Francisco, CA · On-site
$150K - $200K/yr
... or annotation updates, batch-effect correction, etc.). Use LLM-driven and classical data ... text headers, fixing inconsistencies, and preparing final clean datasets. Ensure all ...
Data Engineer, Scientific Data Ingestion
San Francisco, CA · On-site
$150K - $200K/yr
... or annotation updates, batch-effect correction, etc.). Use LLM-driven and classical data ... text headers, fixing inconsistencies, and preparing final clean datasets. Ensure all ...
Data Engineer, Scientific Data Ingestion
San Francisco, CA · On-site
$150K - $200K/yr
... or annotation updates, batch-effect correction, etc.). Use LLM-driven and classical data ... text headers, fixing inconsistencies, and preparing final clean datasets. Ensure all ...
Quick apply
Data Engineer, Scientific Data Ingestion
San Francisco, CA · On-site
$150K - $200K/yr
... or annotation updates, batch-effect correction, etc.). Use LLM-driven and classical data ... text headers, fixing inconsistencies, and preparing final clean datasets. Ensure all ...
Data Engineering Lead
$170K - $450K/yr
One that is proactive, multimodal, and capable of interacting with the world through speech, text ... Hands-on experience with data quality evaluation frameworks or annotation tooling. * Background in ...
Data Engineering Lead
$170K - $450K/yr
One that is proactive, multimodal, and capable of interacting with the world through speech, text ... Hands-on experience with data quality evaluation frameworks or annotation tooling. * Background in ...
Data Engineering Lead
San Jose, CA · On-site
$170K - $450K/yr
One that is proactive, multimodal, and capable of interacting with the world through speech, text ... Hands-on experience with data quality evaluation frameworks or annotation tooling. * Background in ...
Data Engineering Lead
San Jose, CA · On-site
$170K - $450K/yr
One that is proactive, multimodal, and capable of interacting with the world through speech, text ... Hands-on experience with data quality evaluation frameworks or annotation tooling. * Background in ...
Cell Tracking Analyst
San Francisco, CA · On-site
$25/hr
Experience with data annotation or QC roles in scientific or imaging contexts Everforth Apex is a ... Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for ...
Cell Tracking Analyst
San Francisco, CA · On-site
$25/hr
Experience with data annotation or QC roles in scientific or imaging contexts Everforth Apex is a ... Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for ...
Member of Technical Staff: Data Infrastructure & Data Operations
San Francisco, CA · On-site
$255K - $340K/yr
... scale image, video, and text) into the models they build. As a senior IC, you'll own the ... annotation and ML teams define. * Discoverability: Build tooling that lets ML teams find ...
New
Member of Technical Staff: Data Infrastructure & Data Operations
San Francisco, CA · On-site
$255K - $340K/yr
... scale image, video, and text) into the models they build. As a senior IC, you'll own the ... annotation and ML teams define. * Discoverability: Build tooling that lets ML teams find ...
New
... and text modalities. Direct experience building speech-to-speech conversational systems, with a ... annotation, and quality strategies. Experience with on-device ML deployment, including model ...
... and text modalities. Direct experience building speech-to-speech conversational systems, with a ... annotation, and quality strategies. Experience with on-device ML deployment, including model ...
Research Engineer, Multimodal
Redwood City, CA · On-site
$225K - $400K/yr
... text, reference images). * Leverage techniques such as LoRA, RLHF, and full-parameter fine-tuning ... Design and build large-scale data pipelines and automated annotation workflows to support ...
Research Engineer, Multimodal
Redwood City, CA · On-site
$225K - $400K/yr
... text, reference images). * Leverage techniques such as LoRA, RLHF, and full-parameter fine-tuning ... Design and build large-scale data pipelines and automated annotation workflows to support ...
Member of Technical Staff - Imagine Model
Palo Alto, CA · On-site
$180K - $440K/yr
... beyond text, with a strong focus on enabling high-fidelity understanding and generation across ... Improve data quality through annotation, filtering, augmentation, synthetic generation, captioning ...
New
Member of Technical Staff - Imagine Model
Palo Alto, CA · On-site
$180K - $440K/yr
... beyond text, with a strong focus on enabling high-fidelity understanding and generation across ... Improve data quality through annotation, filtering, augmentation, synthetic generation, captioning ...
New
Member of Technical Staff - Imagine Model
Palo Alto, CA · On-site
$180K - $440K/yr
... beyond text, with a strong focus on enabling high-fidelity understanding and generation across ... Improve data quality through annotation, filtering, augmentation, synthetic generation, captioning ...
Quick apply
Member of Technical Staff - Imagine Model
Palo Alto, CA · On-site
$180K - $440K/yr
... beyond text, with a strong focus on enabling high-fidelity understanding and generation across ... Improve data quality through annotation, filtering, augmentation, synthetic generation, captioning ...
Data Collection
$150K - $250K/yr
One that is proactive, multimodal, and capable of interacting with the world through speech, text ... Familiarity with data annotation platforms or labeling pipelines. * Experience with synthetic data ...
Data Collection
$150K - $250K/yr
One that is proactive, multimodal, and capable of interacting with the world through speech, text ... Familiarity with data annotation platforms or labeling pipelines. * Experience with synthetic data ...
Data Collection
San Jose, CA · On-site
$150K - $250K/yr
One that is proactive, multimodal, and capable of interacting with the world through speech, text ... Familiarity with data annotation platforms or labeling pipelines. * Experience with synthetic data ...
Data Collection
San Jose, CA · On-site
$150K - $250K/yr
One that is proactive, multimodal, and capable of interacting with the world through speech, text ... Familiarity with data annotation platforms or labeling pipelines. * Experience with synthetic data ...
We are a data-centric team, and you will have the assistance of a world-class annotation team to ... Solid grasp of model evaluation fundamentals, especially for text generation, text classification ...
We are a data-centric team, and you will have the assistance of a world-class annotation team to ... Solid grasp of model evaluation fundamentals, especially for text generation, text classification ...
We are a data-centric team, and you will have the assistance of a world-class annotation team to ... Solid grasp of model evaluation fundamentals, especially for text generation, text classification ...
We are a data-centric team, and you will have the assistance of a world-class annotation team to ... Solid grasp of model evaluation fundamentals, especially for text generation, text classification ...
We are a data-centric team, and you will have the assistance of a world-class annotation team to ... Solid grasp of model evaluation fundamentals, especially for text generation, text classification ...
We are a data-centric team, and you will have the assistance of a world-class annotation team to ... Solid grasp of model evaluation fundamentals, especially for text generation, text classification ...
Data Collection
San Jose, CA · On-site
$150K - $250K/yr
One that is proactive, multimodal, and capable of interacting with the world through speech, text ... Familiarity with data annotation platforms or labeling pipelines. * Experience with synthetic data ...
Data Collection
San Jose, CA · On-site
$150K - $250K/yr
One that is proactive, multimodal, and capable of interacting with the world through speech, text ... Familiarity with data annotation platforms or labeling pipelines. * Experience with synthetic data ...
Machine Learning Engineer, Agentic AI Systems - Moveworks
Mountain View, CA · On-site
$204K - $241K/yr
We are a data-centric team, and you will have the assistance of a world-class annotation team to ... Solid grasp of model evaluation fundamentals, especially for text generation, text classification ...
Machine Learning Engineer, Agentic AI Systems - Moveworks
Mountain View, CA · On-site
$204K - $241K/yr
We are a data-centric team, and you will have the assistance of a world-class annotation team to ... Solid grasp of model evaluation fundamentals, especially for text generation, text classification ...
We are a data-centric team, and you will have the assistance of a world-class annotation team to ... Solid grasp of model evaluation fundamentals, especially for text generation, text classification ...
We are a data-centric team, and you will have the assistance of a world-class annotation team to ... Solid grasp of model evaluation fundamentals, especially for text generation, text classification ...
Text Annotation information
What are typical day-to-day responsibilities for someone working in text annotation?
Text Annotation professionals spend much of their day reading and labeling text data according to specific guidelines, ensuring that information is correctly categorized and flagged. This can involve highlighting entities, identifying sentiments, tagging parts of speech, or annotating complex relationships within text documents. They frequently collaborate with project managers, data scientists, and quality assurance teams to clarify instructions and maintain data consistency. The role often involves independent work, but regular check-ins and feedback sessions help maintain accuracy and enhance understanding of evolving annotation requirements. This combination of independent and collaborative tasks makes the position dynamic and integral to successful AI or NLP project outcomes.
Are data annotations still hiring?
Data annotation roles, including those for text annotation, are still in demand as companies continue to develop AI and machine learning models. These jobs often require attention to detail and familiarity with annotation tools, and they can be available as remote or part-time positions. Hiring trends depend on industry needs and project pipelines, but opportunities remain consistent in this field.
What is a text annotation job?
A text annotation job involves labeling or tagging parts of text data to help train machine learning models, especially in natural language processing tasks. Workers typically review text and add labels such as entities, sentiments, or categories using specialized tools, often working remotely with flexible schedules.
What are the key skills and qualifications needed to thrive in the Text Annotation position, and why are they important?
Strong language proficiency, attention to detail, and critical thinking are essential skills for succeeding as a Text Annotation specialist, often supported by a bachelor's degree in linguistics, computer science, or a related field. Familiarity with annotation tools like Labelbox, Prodigy, or the Amazon Mechanical Turk platform, as well as knowledge of data privacy and handling protocols, is typically required. Excellent communication, self-motivation, and the ability to focus on repetitive tasks help individuals excel in this position. These capabilities ensure high-quality, consistent data labeling for machine learning models, supporting the development of cutting-edge AI solutions.
Is data annotation a legit job?
Data annotation is a legitimate job that involves labeling data such as images, text, or audio to help train machine learning models. It often requires attention to detail and familiarity with annotation tools, and it can be performed remotely or in-office. Many companies hire data annotators as part of their AI development teams.
What is a Text Annotation job?
A Text Annotation job involves labeling and categorizing text data to help train machine learning models. Annotators add tags, metadata, or classifications to text, enabling AI systems to understand language patterns. This work is essential for applications like chatbots, search engines, and sentiment analysis. Strong attention to detail and language proficiency are key skills for this role.
What qualifications do you need to be a data annotator?
To be a data annotator, basic qualifications typically include a high school diploma or equivalent, strong attention to detail, and good reading and comprehension skills. Familiarity with annotation tools and the ability to follow specific guidelines are also important, while prior experience or knowledge in the relevant domain can be beneficial but is not always required.
What are the most commonly searched types of Text Annotation jobs in California? The most popular types of Text Annotation jobs in California are:
What are popular job titles related to Text Annotation jobs in California? For Text Annotation jobs in California, the most frequently searched job titles are:
What job categories do people searching Text Annotation jobs in California look for? The top searched job categories for Text Annotation jobs in California are:
What cities in California are hiring for Text Annotation jobs? Cities in California with the most Text Annotation job openings:
Full-time
Re-posted 9 days ago
Apple rating
8.1
Based on 670 frontline employees who took The Breakroom Quiz
5th of 30 rated technology retailers
Job description
Join a team at the forefront of defending Apple's ecosystem. We build the large-scale machine learning systems that protect millions of users from emerging threats and ensure the integrity of our products.
We are looking for an experienced Applied ML Engineer who has a proven track record of shipping production models. The ideal candidate is passionate about tackling complex safety and security challenges using state-of-the-art techniques. In this role, you will design, build, and deploy the critical machine learning systems that are foundational to the safety of Apple's products, all while upholding our deep commitment to user privacy.
Description
As engineer on this team, you will own the full lifecycle of our abuse detection machine learning models. You will collaborate closely with researchers to understand the threat landscape and partner with software and product teams to deploy robust, scalable defenses. We believe the most effective security systems are built by engineers who can translate adversarial insights into production-ready code. Your work will directly contribute to the architecture of Apple's AI platform and protect users from real-world harm. Here is what you will do:
* Design, build, and deploy production-grade ML models to detect and mitigate abuse across multiple modalities (text, image, audio).
* Own the full ML lifecycle: from prototyping and data analysis to deployment, monitoring, and the continuous improvement of models in production.
* Drive the data strategy to continuously improve model performance by analyzing distribution gaps, contributing to synthetic data pipelines, and creating automated annotation systems.
* Architect end-to-end systems for monitoring platform activity, detecting misuse, and triggering automated enforcement actions in real-time.
* Collaborate with cross-functional partners in engineering, research, and product to define project requirements, establish technical direction, and deliver robust security solutions.
Minimum Qualifications
2+ years experience shipping machine learning models to production. You have owned the end-to-end lifecycle of a model, from development to deployment and maintenance.
Strong familiarity with research fundamentals, machine learning principles, and development methodologies around LLMs, foundation models, and diffusion models
Proficient programming skills in Python and deep learning toolkits (e.g. JAX, PyTorch, Tensorflow)
Ability to work with sensitive and offensive content as part of building robust security and abuse detection systems.
Preferred Qualifications
BS, MS or PhD in Computer Science, Machine Learning, or related fields or an equivalent qualification acquired through other avenues
Hands-on experience with fine-tuning or aligning large language models for security or safety applications.
Experience building large-scale data processing pipelines and ML infrastructure.
Experience driving technical projects and collaborating with large, diverse, cross-functional teams.
We are looking for an experienced Applied ML Engineer who has a proven track record of shipping production models. The ideal candidate is passionate about tackling complex safety and security challenges using state-of-the-art techniques. In this role, you will design, build, and deploy the critical machine learning systems that are foundational to the safety of Apple's products, all while upholding our deep commitment to user privacy.
Description
As engineer on this team, you will own the full lifecycle of our abuse detection machine learning models. You will collaborate closely with researchers to understand the threat landscape and partner with software and product teams to deploy robust, scalable defenses. We believe the most effective security systems are built by engineers who can translate adversarial insights into production-ready code. Your work will directly contribute to the architecture of Apple's AI platform and protect users from real-world harm. Here is what you will do:
* Design, build, and deploy production-grade ML models to detect and mitigate abuse across multiple modalities (text, image, audio).
* Own the full ML lifecycle: from prototyping and data analysis to deployment, monitoring, and the continuous improvement of models in production.
* Drive the data strategy to continuously improve model performance by analyzing distribution gaps, contributing to synthetic data pipelines, and creating automated annotation systems.
* Architect end-to-end systems for monitoring platform activity, detecting misuse, and triggering automated enforcement actions in real-time.
* Collaborate with cross-functional partners in engineering, research, and product to define project requirements, establish technical direction, and deliver robust security solutions.
Minimum Qualifications
2+ years experience shipping machine learning models to production. You have owned the end-to-end lifecycle of a model, from development to deployment and maintenance.
Strong familiarity with research fundamentals, machine learning principles, and development methodologies around LLMs, foundation models, and diffusion models
Proficient programming skills in Python and deep learning toolkits (e.g. JAX, PyTorch, Tensorflow)
Ability to work with sensitive and offensive content as part of building robust security and abuse detection systems.
Preferred Qualifications
BS, MS or PhD in Computer Science, Machine Learning, or related fields or an equivalent qualification acquired through other avenues
Hands-on experience with fine-tuning or aligning large language models for security or safety applications.
Experience building large-scale data processing pipelines and ML infrastructure.
Experience driving technical projects and collaborating with large, diverse, cross-functional teams.
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