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Home Based Remote Image Annotation Jobs in California

Planet

Visiting Staff Scientist

San Francisco, CA · On-site +1

... in remote sensing and satellite image analysis, with a proven track record in building AI-based ... Home Office Reimbursement * Monthly Phone and Internet Reimbursement * Tuition Reimbursement and ...

HumanSignal

High Volume (TOFU) Recruiter

San Francisco, CA · On-site +1

$55K - $100K/yr

Continuously improve sourcing strategies based on data; identify which channels produce the best ... annotation -- delivering the datasets that frontier AI research requires and remote workforce ...

CHI Health at Home

Diagnostic Radiologist

Santa Cruz, CA · On-site +1

$500K - $600K/yr

S. & from clinics and hospitals to home-based care and virtual care services CommonSpirit is ... This position offers a flexible schedule, with options for fully remote or hybrid work, allowing ...

Hitachi

High Voltage Test Engineer

Santa Fe Springs, CA · Remote

$105K - $158K/yr

If based Earth City, MO travel expectations are 40%-50%, If based remote, travel expectations ... Life and Family (Legal, pet, auto, home, identity theft, etc.), special needs support, and adoption ...

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All JobsHome Based Image Annotation JobsHome Based Remote Image Annotation JobsHome Based Remote Image Annotation Jobs in California

Home Based Remote Image Annotation information

What is the difference between Home Based Remote Image Annotation vs Home Based Remote Data Labeling?

AspectHome Based Remote Image AnnotationHome Based Remote Data Labeling
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, home-basedRemote, home-based
Industry UsageAI training, computer visionAI training, machine learning
Job FocusAnnotating images with labels, bounding boxesLabeling data, categorizing datasets

Home Based Remote Image Annotation and Home Based Remote Data Labeling are similar roles involving remote work for AI training. Image annotation focuses on marking specific features within images, while data labeling involves categorizing data for machine learning. Both require attention to detail and are performed remotely, making them popular in AI and tech industries.

Is image annotation hard?

Home Based Remote Image Annotation jobs typically require attention to detail and basic computer skills. The task involves labeling images accurately, which can be straightforward but may become repetitive and require focus over long periods. Familiarity with annotation tools and guidelines can help improve efficiency and accuracy.

What are the key skills and qualifications needed to thrive as a Home Based Remote Image Annotation Specialist, and why are they important?

To thrive as a Home Based Remote Image Annotation Specialist, you need keen attention to detail, basic computer literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency with annotation tools like Labelbox, CVAT, or VGG Image Annotator is typically required, and experience with cloud-based systems can be advantageous. Strong time management, self-motivation, and clear communication help you meet deadlines and deliver consistent, high-quality work. These skills and qualities ensure accurate data preparation, which is crucial for training reliable AI and machine learning models.

What are home based remote image annotation jobs?

Home based remote image annotation jobs involve labeling or tagging objects, regions, or features within digital images to help train artificial intelligence (AI) and machine learning models. These roles are typically performed from home using a computer and specialized annotation tools provided by employers or platforms. Tasks may include drawing bounding boxes, polygons, or classifying objects in images, and attention to detail is crucial. This work supports industries like autonomous vehicles, healthcare, and e-commerce by improving AI accuracy. Most positions are freelance or part-time, offering flexible schedules for workers.

How can I make 2000 a week working from home?

Home Based Remote Image Annotation jobs typically pay per task or hourly, and earning $2000 weekly requires consistent high-volume work, efficient annotation skills, and possibly working multiple platforms or clients. Building a strong portfolio and gaining experience with annotation tools can increase earning potential, but reaching this income level may also involve supplementing with other remote tasks or freelance work.

How to make $1000 a week remotely?

Home Based Remote Image Annotation jobs typically pay per task or project, and earning $1000 weekly requires completing a high volume of accurate annotations consistently. Success depends on efficiency, skill with annotation tools, and working full-time hours, often around 40 hours per week, to reach that income level.

How much do remote data annotation operators make?

Remote data annotation operators typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the company. Some roles may offer project-based pay or bonuses, and familiarity with annotation tools can improve earning potential.

What are some common challenges faced by home-based remote image annotation professionals, and how can they be effectively managed?

One common challenge for remote image annotation professionals is maintaining consistent accuracy and focus when working independently for extended periods. Distractions at home and repetitive tasks can also lead to decreased productivity or errors. To manage these challenges, it's helpful to establish a dedicated workspace, adhere to a structured schedule, and take regular breaks to prevent fatigue. Additionally, staying connected with team members through regular check-ins can provide support, clarify guidelines, and ensure quality standards are met.
What are the most commonly searched types of Remote Image Annotation jobs in California? The most popular types of Remote Image Annotation jobs in California are:
What are popular job titles related to Home Based Remote Image Annotation jobs in California? For Home Based Remote Image Annotation jobs in California, the most frequently searched job titles are:
What job categories do people searching Home Based Remote Image Annotation jobs in California look for? The top searched job categories for Home Based Remote Image Annotation jobs in California are:
What cities in California are hiring for Home Based Remote Image Annotation jobs? Cities in California with the most Home Based Remote Image Annotation job openings:
Home Based Remote Image Annotation jobs near you
Infographic showing various Home Based Remote Image Annotation job openings in California as of July 2026, with employment types broken down into 15% Locum Tenens, 27% Full Time, 17% Part Time, 2% Contract, 37% Nights, and 2% Summer. Highlights an 56% Physical, 1% Hybrid, and 43% Remote job distribution.

Language Model Evaluator - Fully Remote | Upto $20/hr Part-time

Mercor

San Francisco, CA • Remote

$20/hr

Part-time

Re-posted 29 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Generalist - English & Bengali
Type: Contract
Compensation: $15–$20/hour
Location: Remote

Role Responsibilities

  • Conduct fact-checking using trusted public sources and external tools.
  • Generate high-quality human evaluation data by identifying response strengths, areas for improvement, and factual inaccuracies.
  • Assess reasoning quality, clarity, tone, and completeness of responses.
  • Ensure model responses align with expected conversational behavior and system guidelines.
  • Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

Must-Have

  • Bachelor's degree
  • Native speaker in Bengali
  • Significant experience using large language models (LLMs)
  • Excellent writing skills in English
  • Strong attention to detail
  • Background or experience in domains requiring structured analytical thinking (e.g., research, policy, analytics, linguistics, engineering)

Preferred

  • Prior experience with RLHF, model evaluation, or data annotation work
  • Experience writing or editing high-quality written content
  • Experience comparing multiple outputs and making fine-grained qualitative judgments

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.