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Text Annotation Jobs in California (NOW HIRING)

... annotation projects within the organization. Required Skills & Qualifications * 5 years in ... text, audio, sensor data, metadata, etc. * Experience with data labeling platforms. * Strong ...

Data Engineer III 70756-1

Menlo Park, CA · On-site +1

$134K - $162K/yr

... visual text generation. Job Responsibilities AI-Augmented Data Pipelines: Design and maintain AI ... Additional Responsibilities LLM-Assisted Annotation: Design and operate pipelines that use LLMs and ...

... annotation, and evaluation pipelines that improve model quality across visual quality, prompt adherence, identity preservation, naturalness, and visual text generation. The ideal candidate will bring ...

... across text, image, audio, video, and 3D data. • Work closely with data engineering and research teams to develop efficient data workflows, including collection, preprocessing, annotation ...

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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.

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.

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 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 cities in California are hiring for Text Annotation jobs? Cities in California with the most Text Annotation job openings:

Annotation Operations Lead

Artech

Sunnyvale, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Location: Sunnyvale, CA (Onsite) Introduction This full-time contractor role involves regular collaboration with data collection, annotation, and algorithm development partners. The role serves as the primary point of contact for the scoping, bring-up, and management of multi-discipline data annotation projects within the organization. Required Skills & Qualifications
  • 5 years in operations, project management, or data analysis, with at least 2 years specifically in data annotation operations.
  • Proven history of success in leading and managing large scale annotations for multimodal data, including image, video, text, audio, sensor data, metadata, etc.
  • Experience with data labeling platforms.
  • 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 requirements into clear, easy-to-understand instructions for non-technical staff.
  • Experience managing complex, cross-functional projects, often with international or remote teams.
  • Familiarity with budget tracking, cost reporting, or operational financial practices.
  • A Bachelor's degree in engineering related fields.
  • Prior work experience at client or in client's Industry.
Applicants must be able to work directly for Artech on W2. Preferred Skills & Qualifications
  • Experience with annotation tool and/or AIML model development.
Day-to-Day Responsibilities
  • Design, develop and optimize annotation workflow and instructions to ensure high-throughput, scalability, and accurate annotation.
  • Partner with engineering teams to define and align on annotation tool requirements.
  • Establish and enforce rigorous QA/QC processes for annotation accuracy and consistency.
  • Develop annotation project timeline and ensure the successful delivery of annotations.
  • Track, facilitate, and direct priorities for several concurrent annotation efforts.
  • Track key performance metrics such as throughput (labels per hour), quality scores, and spend against targets, and provide regular reports to stakeholders.
  • Develop and implement annotation working guidelines to ensure compliance with the organization's security, privacy, and financial guidelines.
  • Monitor financial states of purchase orders and budgets to ensure careful spending for uninterrupted service from the vendor.
  • Drive supply, equipment, and software ordering in coordination with stakeholders.
  • Find, socialize, and implement program improvements in coordination with stakeholders.
  • Facilitate project clearances, non-disclosure agreements, and Restricted Project Agreements.
  • Ensure vendor compliance with statements of work and service level agreements.
Company Benefits & Culture
  • Collaborative work environment with cross-functional teams.
  • Opportunities for professional growth and development.
  • Commitment to diversity and inclusion.
For immediate consideration please click APPLY to begin the screening process with Alex.