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Flexible Remote Image Annotation Jobs (NOW HIRING)

Students, freelancers, part-time workers, or anyone seeking flexible short-term work * People ... Fully remote * Work: Not voice-based -- text and image annotation only * No Interview, only ...

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Annotation Specialist - Business & Financial Domains Job Location ... Remote, Part‐Time/Freelance Job Mode: Flexible schedule Working Hours: 20-25 hrs/week Role:

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Tamil Translator (Remote) | Sigma AI

$45K - $58K/yr

Annotation - Audio/Video/Image/Sentence/Word validation - Categorization, Conversational interactions - Content creation - Correction - Evaluation - Localization All tasks are remote , performed ...

... seeking flexible remote work? Are you interested in shaping the development and safety of today ... quality assurance, and data annotation and labeling. What We Offer * Flexible schedule

... annotation project. In this role, you will review pre-seeded questions paired with images and provide accurate "golden" answers based on what you observe in the image. This is a task-based, remote ...

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Flexible Remote Image Annotation information

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$759

$2.1K

$3.1K

How much do flexible remote image annotation jobs pay per week?

As of Aug 23, 2026, the average weekly pay for flexible remote image annotation in the United States is $2,116.79, according to ZipRecruiter salary data. Most workers in this role earn between $1,557.69 and $2,634.62 per week, depending on experience, location, and employer.

What is flexible remote image annotation?

Flexible remote image annotation is a job where individuals label or tag elements within digital images from a remote location, often from home. This work is crucial for training artificial intelligence and machine learning models, particularly in fields like computer vision and autonomous vehicles. The 'flexible' aspect means workers can often set their own hours and choose tasks according to their availability. Image annotation tasks may include outlining objects, assigning categories, or describing visual content in images. Most positions require attention to detail and basic computer skills, but prior experience is not always necessary.

What are the key skills and qualifications needed to thrive as a flexible remote image annotation specialist?

To thrive as a Flexible Remote Image Annotation Specialist, you need strong attention to detail, visual accuracy, and a basic understanding of image processing, often supported by a high school diploma or equivalent. Familiarity with annotation tools such as Labelbox, CVAT, or VIA, and sometimes experience with basic data entry platforms, is typically required. Excellent time management, communication skills, and the ability to work independently are valued soft skills for this remote role. These skills ensure high-quality, consistent data labeling essential for training reliable machine learning models and supporting AI development.

What are some common challenges faced in flexible remote image annotation roles and how can they be managed?

One common challenge in flexible remote image annotation is maintaining accuracy and consistency across large datasets, especially when guidelines are complex or images are ambiguous. Working independently can also make it harder to get immediate feedback or clarification. To manage these challenges, it’s important to regularly review annotation guidelines, participate in team check-ins or forums, and make use of quality assurance tools provided by the employer. Staying organized and communicating proactively with project leads can help ensure your work meets expectations and deadlines.

What is the difference between Flexible Remote Image Annotation vs Data Labeler?

AspectFlexible Remote Image AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI, machine learning, computer visionAI, machine learning, data processing
Job FocusAnnotating images with labels, bounding boxes, segmentationLabeling data, categorizing images or text

Flexible Remote Image Annotation and Data Labeler roles both involve data processing tasks in AI and machine learning industries. While image annotation focuses on marking specific features within images, data labelers may work with various data types, including text and images. Both roles are remote, require similar skills, and serve the same industry needs, but image annotation emphasizes visual data precision.

More about Flexible Remote Image Annotation jobs

What cities are hiring for Flexible Remote Image Annotation jobs?

Cities with the most Flexible Remote Image Annotation job openings:

What are the most commonly searched types of Remote Image Annotation jobs?

The most popular types of Remote Image Annotation jobs are:

What states have the most Flexible Remote Image Annotation jobs?

States with the most job openings for Flexible Remote Image Annotation jobs include:

What job categories do people searching Flexible Remote Image Annotation jobs look for?

The top searched job categories for Flexible Remote Image Annotation jobs are:

Infographic showing various Flexible Remote Image Annotation job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, and 3% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $110,073 per year, or $52.9 per hour.

$640/wk

Other

Posted 6 days ago


Job description

Job Title

We are looking for native or fluent language speakers to help train AI systems by reviewing and annotating content in their language. This is a long-term, remote gig.

No prior experience is required. On the job training will be provided.

What You Will Do
  • Review content in your native language (e.g., newspaper articles, website screenshots, advertisements)
  • Draw bounding boxes around specific elements as instructed (e.g., highlight the commercial aspect of an article)
  • Answer structured questions about the content
  • Write short summaries when required
  • Follow clear annotation guidelines to ensure quality and consistency
Who Should Apply
  • Native or highly fluent speakers of the target language
  • Students, freelancers, part-time workers, or anyone seeking flexible short-term work
  • People comfortable following written instructions on a computer
Skills Required
  • Strong reading comprehension in your language
  • Basic computer skills (no technical background needed)
  • Attention to detail
  • Ability to follow structured instructions
Role Details
  • Duration: Minimum 6 months (Long-term Project)
  • Pay Rate: $4 USD / hour ($640 USD / mo for 40 hrs / week)
  • Hours: 30–40 hours/week
  • Location: Fully remote
  • Work: Not voice-based — text and image annotation only
  • No Interview, only assessment: 15–20 minute language skills assessment

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