... 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.
... 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.
... 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.
Quick apply
... 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.
... 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.
... 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.
... 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.
Quick apply
... 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.
ANNOTATION & LABELLING: Transcription, summarization, image and video classification and labeling. * ENHANCING LLMs: Prompt engineering, SFT, RLHF, red teaming and adversarial model training, model ...
ANNOTATION & LABELLING: Transcription, summarization, image and video classification and labeling. * ENHANCING LLMs: Prompt engineering, SFT, RLHF, red teaming and adversarial model training, model ...
Image Annotation information
See Miami, FL salary details
$726.54 - $933.04
3% of jobs
$933.04 - $1.1K
5% of jobs
$1.1K - $1.3K
12% of jobs
$1.5K is the 25th percentile. Wages below this are outliers.
$1.3K - $1.6K
8% of jobs
$1.6K - $1.8K
9% of jobs
$1.8K - $2K
9% of jobs
The median wage is $2K / yr.
$2K - $2.2K
11% of jobs
$2.2K - $2.4K
12% of jobs
$2.5K is the 75th percentile. Wages above this are outliers.
$2.4K - $2.6K
14% of jobs
$2.6K - $2.8K
9% of jobs
$2.8K - $3K
7% of jobs
$726
$2K
$3K
How much do image annotation jobs pay per week?
As of Aug 31, 2026, the average weekly pay for image annotation in Miami, FL is $2,024.60, according to ZipRecruiter salary data. Most workers in this role earn between $1,490.38 and $2,519.23 per week, depending on experience, location, and employer.
What is an image annotation?
An Image Annotation job involves labeling or tagging objects, regions, or features within images to train machine learning models. Annotators use various techniques, such as bounding boxes, polygons, or key points, to define elements in images. This work is essential for tasks like object detection, image segmentation, and facial recognition. Image annotation helps improve AI accuracy in applications such as autonomous vehicles, medical imaging, and security systems.
What are the key skills and qualifications needed to thrive in image annotation, and why are they important?
To thrive as an Image Annotation professional, attention to detail, strong visual perception, and accuracy are essential, often complemented by a high school diploma or relevant experience in data labeling or computer vision projects. Familiarity with annotation tools such as LabelImg, CVAT, or Supervisely, and a basic understanding of file formats and image labeling standards are typically required. Excellent communication, time management, and the ability to focus on repetitive tasks help individuals excel in this position. These skills ensure high-quality annotated data, which is critical for training reliable machine learning and AI models.
What are some common challenges faced by image annotation specialists in their daily work?
Image annotation specialists often encounter challenges such as maintaining accuracy and consistency when labeling large volumes of images, especially when object boundaries are ambiguous or vary across images. The need to meet tight project deadlines while ensuring high-quality output can be demanding, and handling repetitive tasks may require sustained focus and attention. Collaboration with machine learning engineers or project managers is common, as they may provide feedback or clarification on annotation guidelines. Despite these challenges, working in image annotation offers the opportunity to contribute directly to cutting-edge AI technologies and gain valuable experience in the growing field of computer vision.
What are the most commonly searched types of Image Annotation jobs in Miami, FL?
The most popular types of Image Annotation jobs in Miami, FL are:
What are popular job titles related to Image Annotation jobs in Miami, FL?
For Image Annotation jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Image Annotation jobs in Miami, FL look for?
The top searched job categories for Image Annotation jobs in Miami, FL are:
What cities near Miami, FL are hiring for Image Annotation jobs?
Cities near Miami, FL with the most Image Annotation job openings:
Full-time
Posted 11 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.
About AgileEngine
Sourced by ZipRecruiter
Industry
Software development
Company size
201 - 500 Employees
Headquarters location
McLean, VA, US
Year founded
2000