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Seasonal Remote Image Annotation Jobs (NOW HIRING)

Remote (weekly check-in meeting required) Start Date: Mid-August Duration: Ongoing Contract ... Collaborate closely with an art director to align copy, headlines, image text, and visual concepts ...

... image-based data pipelines, or annotation platforms. * Experience with real-time, streaming, or ... This role is remote and the base pay range for a successful candidate is dependent on their ...

Studio Photographer

Sumner, WA · On-site +1

$28 - $30/hr

Flexible work schedules, remote work for eligible roles, and dog friendly offices * Career pathing ... seasonal on-model shoots for product detail pages on evo.com, including image selection and ...

New

As a remote seasonal Product Support Agent , you will play an important role in delivering a ... Convey a professional and positive image internally and externally. * Effectively use provided ...

As a remote seasonal Product Support Agent , you will play an important role in delivering a ... Convey a professional and positive image internally and externally. * Effectively use provided ...

Employee Discounts * Full-time, non-seasonal * Career Advancement Responsibilities: * Respond to ... Ability to project and convey a positive, concerned, and professional image to customers * Ability ...

Employee Discounts * Full-time, non-seasonal * Career Advancement Responsibilities: * Respond to ... Ability to project and convey a positive, concerned, and professional image to customers * Ability ...

Employee Discounts * Full-time, non-seasonal * Career Advancement Responsibilities: * Respond to ... Ability to project and convey a positive, concerned, and professional image to customers * Ability ...

Showing results 21-40

Seasonal Remote Image Annotation information

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$8

$15

$21

How much do seasonal remote image annotation jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for seasonal remote image annotation in the United States is $15.86, according to ZipRecruiter salary data. Most workers in this role earn between $13.46 and $17.31 per hour, depending on experience, location, and employer.

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

AspectSeasonal Remote Image AnnotationData Labeling Specialist
CredentialsBasic computer skills, attention to detailSimilar, often no formal certification required
Work EnvironmentRemote, flexible hours during seasonal peaksRemote, consistent or project-based work
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, data analysis
Search & ComparisonOften compared for remote annotation rolesRelated but broader data labeling tasks

Seasonal Remote Image Annotation involves labeling images during specific seasons, focusing on visual data for AI models. Data Labeling Specialist covers a wider range of data types and labeling tasks. Both roles are remote and require attention to detail, but Seasonal Remote Image Annotation is more seasonal and task-specific, while Data Labeling Specialist offers more consistent work across various data formats.

More about Seasonal Remote Image Annotation jobs

What cities are hiring for Seasonal Remote Image Annotation jobs?

Cities with the most Seasonal Remote Image Annotation job openings:

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

The most popular types of Seasonal Image Annotation jobs are:

What states have the most Seasonal Remote Image Annotation jobs?

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

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

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

Infographic showing various Seasonal Remote Image Annotation job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, and 25% Temporary. Highlights an 100% Remote job distribution, with an average salary of $32,987 per year, or $15.9 per hour.

Junior/Middle Computer Vision Engineer ID72410

AgileEngine

Fort Lauderdale, FL • On-site, Remote

Full-time

Posted 13 days ago


Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE
We are looking for a Junior/Middle Computer Vision Engineer to support high-volume execution across data preparation, model training, and evaluation for an AI team working with large-scale image and video datasets. You will curate and manage annotation workflows, run model training and evaluation jobs, maintain benchmarks, and collaborate with senior engineers on failure-case analysis. The role offers a a clear growth path into applied modeling or MLOps for an early-career engineer eager to build hands-on AI experience.

WHAT YOU WILL DO
- Curate large-scale image and video datasets, manage labeling processes and workflows, and ensure the highest standards for dataset quality;
- Run model training and evaluation jobs, ensuring experiments are executed smoothly and efficiently;
- Document training results, maintain ongoing evaluation benchmarks, and track model performance over time;
- Collaborate with senior engineers to analyze model failure cases and identify areas for data or algorithmic improvement;
- Take ownership of foundational tasks that support the broader team’s AI/ML lifecycle, directly contributing to the speed and success of production deployments.

MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 1 to 3 years of experience in software engineering, data science, machine learning, or a related field;
- Degree in Computer Science, Data Science, Engineering, Mathematics, or a related discipline (or equivalent practical experience);
- Engineers located in the US must reside in Dallas, TX, and be open to working from the office (onsite);
- Foundational coding skills in Python;
- Foundational understanding of machine learning concepts and workflows;
- Basic knowledge of computer vision principles (e.g., image processing, object detection basics);
- Basic familiarity with cloud environments and compute resources;
- A strong, demonstrable willingness to learn and adapt in a fast-paced, mentorship-driven environment;
- Excellent attention to detail, specifically regarding data quality and documentation;
- Upper-intermediate English level.

PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.