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Remote Data Annotation Jobs in Martinez, CA (NOW HIRING)

e-Solutions Inc

Be Seen First

Nutrition & Dietary Habits Annotator

San Francisco, CA · Remote

$30 - $32/hr

In this remote freelance opportunity, you will evaluate, annotate, and validate nutrition-related ... Previous AI/ML data annotation, data labeling, or quality assurance experience. * Experience ...

HumanSignal

Strategic Projects Lead

San Francisco, CA · Remote

$75K - $110K/yr

San Francisco, CA About the Role HumanSignal specializes in operationally complex, multimodal data collection and annotation -- delivering the datasets that frontier AI research requires and remote ...

HumanSignal

High Volume (TOFU) Recruiter

San Francisco, CA · On-site +1

$55K - $100K/yr

... data collection and annotation -- delivering the datasets that frontier AI research requires and remote workforce marketplaces can't. We own projects end-to-end, from scoping and protocol design ...

HumanSignal

Delivery Lead

San Francisco, CA · Remote

$110K - $140K/yr

San Francisco, CA About the Role HumanSignal specializes in operationally complex, multimodal data collection and annotation -- delivering the datasets that frontier AI research requires and remote ...

LatchBio

AI Biologist - Biosurveillance

San Francisco, CA · On-site +1

$120K - $180K/yr

Bioinformatics Engineer - Biosurveillance As molecular data generation and frontier model ... Viral genome reconstruction, annotation, consensus generation, lineage or subtype assignment, and ...

All JobsData Annotation JobsRemote Data Annotation JobsRemote Data Annotation Jobs in Martinez, CA

Remote Data Annotation information

What are the key skills and qualifications needed for remote data annotation?

To thrive as a Remote Data Annotation specialist, strong attention to detail, accuracy, and familiarity with basic data processing concepts are essential, often requiring a high school diploma or equivalent. Experience using data labeling platforms, annotation tools (such as Labelbox or Supervisely), and sometimes familiarity with spreadsheet software may be required. Excellent time management, communication skills, and the ability to work independently are valuable soft skills in this remote role. These skills are vital to ensure that data annotations are consistent, precise, and delivered on schedule, which directly impacts the quality of AI and machine learning outcomes.

What is the best remote data annotation company to work for?

Remote data annotation jobs are offered by various companies, including industry leaders like Appen, Lionbridge, and Scale AI, which provide flexible schedules and require attention to detail. The best company depends on factors such as pay, work environment, and project types, so researching reviews and job requirements can help identify suitable options.

How much do remote data annotation jobs pay?

Remote data annotation jobs typically pay between $10 and $20 per hour, depending on experience, complexity of tasks, and the company. Some roles may offer project-based pay or part-time schedules, with higher rates for specialized skills or tools like labeling software.

What does a remote data annotation specialist do?

Daily tasks for a Remote Data Annotation role usually involve reviewing and labeling large volumes of data—such as images, audio clips, text, or video—according to specific project guidelines. You will use specialized annotation tools to identify objects, transcribe content, categorize information, or tag relevant features to support machine learning projects. Communication with project managers or quality assurance teams may be necessary for feedback and clarity on guidelines. Most roles also require regular self-checks for accuracy and the ability to meet productivity quotas or deadlines. This structure allows for a combination of focused individual work and occasional team collaboration to ensure project goals are met.

What is remote data annotation?

A Remote Data Annotation job involves labeling, tagging, or categorizing data (such as images, text, audio, or video) to help improve machine learning models. This work is typically done from home using specialized annotation tools provided by employers. Accuracy and attention to detail are essential, as the quality of annotations directly impacts AI model performance. Many companies hire remote annotators on a freelance, part-time, or contractual basis.

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What job categories do people searching Remote Data Annotation jobs in Martinez, CA look for? The top searched job categories for Remote Data Annotation jobs in Martinez, CA are:
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Remote Data Annotation jobs near you
Infographic showing various Remote Data Annotation job openings in Martinez, CA as of August 2026, with employment types broken down into 46% Full Time, 21% Part Time, 5% Temporary, and 28% Contract. Highlights an 100% Remote job distribution.

Nutrition & Dietary Habits Annotator

e-Solutions Inc

San Francisco, CA • Remote

$30 - $32/hr

Contractor

Posted 6 days ago

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Job description

Job Summary

We are hiring experienced Registered Dietitians (RD/RDN), Nutritionists, and Nutrition Professionals to support the development of advanced Artificial Intelligence (AI) models. In this remote freelance opportunity, you will evaluate, annotate, and validate nutrition-related data to improve the quality, accuracy, and safety of AI-generated responses related to healthy eating, dietary habits, nutrition tracking, and wellness.

This is an excellent opportunity for professionals who are passionate about nutrition and interested in working on innovative AI projects.


Key Responsibilities

  • Review, annotate, and validate nutrition and dietary data from text, images, and meal logs.
  • Analyze food items, portion sizes, meal composition, and nutrient content.
  • Classify dietary patterns, meal timing, macronutrient distribution, and dietary preferences or restrictions.
  • Verify nutritional information using trusted food composition databases and nutrition references.
  • Identify inaccurate, inconsistent, or culturally ambiguous food entries.
  • Evaluate AI-generated nutrition content for scientific accuracy, safety, and relevance.
  • Follow annotation guidelines while maintaining high accuracy and quality standards.
  • Collaborate with project teams to improve AI model performance through high-quality data labeling.


Required Qualifications

  • Bachelor's degree in nutrition, Dietetics, Food Science, Public Health Nutrition, or a related field.
  • Strong knowledge of:
    • Nutrition Science
    • Medical Nutrition Therapy (MNT)
    • Food Composition Databases
    • Dietary Assessment Methods
    • Macronutrients and Micronutrients
  • Excellent analytical skills and attention to detail.
  • Comfortable working with spreadsheets, structured datasets, and annotation tools.
  • Ability to work independently in a remote environment.
  • Reliable internet connection.
  • MacBook preferred.


Preferred Qualifications

  • Registered Dietitian (RD) or Registered Dietitian Nutritionist (RDN) credential.
  • Master's degree in nutrition science, Clinical Dietetics, or Public Health Nutrition.
  • Minimum 2–3 years of clinical, community, or outpatient nutrition counseling experience.
  • Experience with nutrition research, food analysis, or dietary assessment.
  • Previous AI/ML data annotation, data labeling, or quality assurance experience.
  • Experience working with multicultural or multilingual food datasets.


Job Details

  • Position: Nutrition & Dietary Habits Expert
  • Job Type: Freelance / Independent Contractor
  • Location: 100% Remote
  • Duration: 8 Weeks
  • Schedule: Flexible Hours
  • Compensation: Competitive (Based on Experience)


Hiring Process

  • Resume Shortlisting
  • One Virtual Interview


Why Join Us?

  • Work on cutting-edge AI and Large Language Model (LLM) projects.
  • Flexible, fully remote work environment.
  • Collaborate with global AI and healthcare teams.
  • Gain experience shaping the future of AI-powered nutrition and wellness solutions.
    If you're passionate about nutrition and excited to contribute to the next generation of AI-powered healthcare and wellness solutions, we'd love to hear from you. Apply today!