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Image Labeling Remote Jobs (NOW HIRING)

Welo Global

Project Epsilon - Somali Data Trainer

$24/hr

... the image. This is a task-based, remote-friendly opportunity ideal for individuals who are ... Prior experience with data annotation, data labeling, or quality review is a plus Work Format ...

GRVTY

Imagery Scientist (EO) - Senior

Falls Church, VA · Remote

$97K - $133K/yr

... labeling and model testing purposes. This may involve converting between file format types or ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

Chenega IT Enterprise Services

Records Clerk

Lorton, VA · On-site +1

$16.75 - $22/hr

Overview Records Clerk Remote Are you ready to enhance your skills and build your career in a ... The Records Clerk downloads, creates, verifies image quality, processes, performs data entry ...

GRVTY

Imagery Scientist (EO)- Expert

Falls Church, VA · On-site +1

$180K - $210K/yr

Labeling * Model testing * Advanced exploitation workflows * Investigate gaps in emerging EO sensor ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

GRVTY

Imagery Scientist (EO)- Expert

Saint Louis, MO · On-site +1

$180K - $210K/yr

Labeling * Model testing * Advanced exploitation workflows * Investigate gaps in emerging EO sensor ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

GRVTY

Imagery Scientist (EO) - Senior

Saint Louis, MO · On-site +1

$160K - $190K/yr

... labeling and model testing purposes. This may involve converting between file format types or ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

GRVTY

Imagery Scientist (EO) - Senior

Falls Church, VA · On-site +1

$160K - $190K/yr

... labeling and model testing purposes. This may involve converting between file format types or ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

TEKsystems

AI Art Director

Palo Alto, CA · Remote

$50/hr

... or labeling training data for AI/ML models - Experience with the latest AI image and video ... remote position. Application Deadline This position is anticipated to close on Jul 28, 2026. About ...

GRVTY

Software Engineer, Senior

Herndon, VA · On-site +1

$126K - $166K/yr

Background in signal processing, image processing, or remote sensing data workflows. * Experience ... Familiarity with ML/Ops practices - training pipelines, data labeling, model evaluation, and ...

GRVTY

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

Background in signal processing, image processing, or remote sensing data workflows. * Experience ... Familiarity with ML/Ops practices - training pipelines, data labeling, model evaluation, and ...

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Image Labeling Remote information

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How much do image labeling remote jobs pay per hour?

As of Jul 25, 2026, the average hourly pay for image labeling remote in the United States is $13.97, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $15.38 per hour, depending on experience, location, and employer.

What is image labeling in a remote job?

Image labeling in a remote job involves tagging or annotating images with relevant information or categories from your home or any location outside of a traditional office. This process helps train machine learning models to recognize objects, people, or scenes within images. Remote image labelers use specialized software to identify and mark features according to project guidelines. The work is often flexible and may be paid per task or per hour, depending on the employer.

How much do AI labelers make?

AI labelers, including those working remotely in image labeling roles, typically earn between $10 and $20 per hour, depending on experience and the company. Many remote positions offer flexible schedules and may pay per task or image labeled rather than hourly.

What is the salary of image Labelling job?

The salary for an image labeling remote job typically ranges from $10 to $20 per hour, depending on experience, the company, and the complexity of the labeling tasks. Many positions are paid hourly or per task, and some may offer bonuses for accuracy or speed.

How can I make 2000 a week working from home?

In remote image labeling jobs, earning $2000 weekly typically requires working full-time hours, often around 40 hours per week, and completing high volumes of labeled images with accuracy. Success depends on experience, efficiency, and the pay rate per task, which varies by platform and project complexity. Building skills in image annotation tools and maintaining consistent productivity can help increase earnings to reach that goal.

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

AspectImage Labeling RemoteData Annotation Specialist
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote or on-site, flexible hours
Industry UsageAI, machine learning, computer visionAI, machine learning, data processing
Search & Comparison IntentOften compared for similar data labeling rolesRelated role in data preparation

Image Labeling Remote and Data Annotation Specialist roles both involve preparing data for AI systems, often working remotely with similar skills. However, Image Labeling Remote typically focuses specifically on labeling images and visual data, while Data Annotation Specialist may include a broader range of data types like text or audio. Both roles are essential in AI development and share similar work environments and skill requirements.

What are the key skills and qualifications needed to thrive as an Image Labeling Remote worker, and why are they important?

To thrive as an Image Labeling Remote worker, you need strong attention to detail, basic computer literacy, and familiarity with data annotation concepts, often supported by a high school diploma or equivalent. Proficiency with image labeling platforms such as Labelbox, Supervisely, or proprietary annotation tools is typically required. Reliability, self-motivation, and the ability to follow precise instructions make someone stand out in this position. These skills ensure that labeled data is accurate and consistent, which is crucial for training high-quality machine learning models.

What are some common challenges faced by remote image labeling professionals, and how can they be managed?

Remote image labeling professionals often encounter challenges such as maintaining focus during repetitive tasks, ensuring high accuracy, and communicating effectively with team members across different time zones. To manage these, it's helpful to set up a dedicated, distraction-free workspace, take regular breaks to prevent fatigue, and use collaboration tools like Slack or project management platforms to stay connected with the team. Adhering closely to labeling guidelines and participating in regular quality reviews also help maintain accuracy and consistency.

How to make $1000 a week remote?

To make $1000 a week as an image labeler remotely, you need to complete a high volume of accurate labeling tasks, often working for multiple platforms or clients simultaneously. Building experience, improving efficiency, and using tools like labeling software can help increase earnings, but consistent high-quality work is essential to reach that income level.
More about Image Labeling Remote jobs
What cities are hiring for Image Labeling Remote jobs? Cities with the most Image Labeling Remote job openings:
What are the most commonly searched types of Image Labeling jobs? The most popular types of Image Labeling jobs are:
What states have the most Image Labeling Remote jobs? States with the most job openings for Image Labeling Remote jobs include:
What job categories do people searching Image Labeling Remote jobs look for? The top searched job categories for Image Labeling Remote jobs are:
Image Labeling Remote jobs near you
Infographic showing various Image Labeling Remote job openings in the United States as of July 2026, with employment types broken down into 86% Full Time, 7% Part Time, and 7% Contract. Highlights an 100% Remote job distribution, with an average salary of $29,053 per year, or $14 per hour.

Lead Machine Learning Engineer - Remote (US) or CA - Only W2

Saransh Inc

Mountain View, CA • Remote

$104K - $138K/yr

Contractor

Posted 8 days ago

Job description

Role: Lead Machine Learning Engineer
Location: Mountain View, CA (3 days a week onsite) (OR) Remote
Job Type: W2 Contract
Duration: 12 months
 
 
Experience: Senior/Lead Level
 
Short Overview of JD:
Looking for a ML Engineer who will be working on the products related to seismic and well log data, identifying simple geologic characteristics of the data (faults, horizons), and working knowledge of the different subsurface data formats and types.
 
Primary Skills:
MLOps, Deep learning, GPU training and inference, Image models, GCP, TensorFlow, PyTorch, Agentic coding tools
 
We are looking for a candidate who:
  • Senior-level experience leading small engineering teams, setting technical goals in a business context, and remaining hands-on.
  • Familiarity with agentic coding tools (e.g., Claude).
  • Is well-versed in deep learning, GPU training and inference, and image models.
  • Has extensive experience in model training and setting up distributed model training pipelines, especially using platforms like Vertex AI and Kubeflow for large-scale image and language model training.
  • Possesses a strong background in building and deploying machine learning models, with a focus on image processing and time series signal processing.
  • Has hands-on experience in training and fine-tuning ML models.
  • Is skilled in building and maintaining data pipelines for image and sensor data.
  • Is familiar with ML Ops tools and practices, including model monitoring, versioning, and deployment.
  • Has experience working with data labeling tools.
  • Is comfortable with cloud platforms, particularly Google Cloud Platform (GCP); experience with edge deployments is a plus.
Additional (Nice to Have) Skills:
  • Experience with GCP is highly desirable; if not, the ability and willingness to learn quickly is expected.
  • Proficiency in TensorFlow and PyTorch.
  • Familiarity with Protocol Buffers and containerization technologies.
  • Experience with rapid prototyping to validate hypotheses.