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 Jun 11, 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 are the key skills and qualifications needed to thrive in the Image Annotation position, 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 is an Image Annotation job?
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 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:
Part-time
Posted 13 days ago
Job description
Company Description
Welo Data works with technology companies to provide datasets that are high-quality, ethically sourced, relevant, diverse, and scalable to supercharge their AI models. As a Welocalize brand, WeloData leverages over 25 years of experience in partnering with the world's most innovative companies and brings together a curated global community of over 500,000 AI training and domain experts to offer services that span:
- ANNOTATION & LABELLING: Transcription, summarization, image and video classification and labeling.
- ENHANCING LLMs: Prompt engineering, SFT, RLHF, red teaming and adversarial model training, model output ranking.
- DATA COLLECTION & GENERATION: From institutional languages to remote field audio collection.
- RELEVANCE & INTENT: Culturally nuanced and aware, ranking, relevance, and evaluation to train models for search, ads, and LLM output.
Want to join our Welo Data team? We bring practical, applied AI expertise to projects. We have both strong academic experience and a deep working knowledge of state-of-the-art AI tools, frameworks, and best practices. Help us elevate our clients' Data at Welo Data.
Job Description
OVERVIEW
Welocalize is an award-winning localization and data transformation company. We are currently building one of the world's largest Internet Rating Programs and want you to join!
As a Spanish Search Quality Rater, you will review and grade internet content to help online engines work better. In other words, you'll tell the engine how good or bad it is performing based on user keywords.
You will complete tasks in Spanish.
This role is great for people who:
- Surf the internet daily
- Use major search engines frequently
- Know what people want based on a few keywords
- Enjoy researching topics online
Project Details
- Job Title: Search Quality Rater
- Location: US-based, Remote/home office/work from home - Note: Even though the position is remote, you must reside in the country that is noted in this description. This will be automatically checked during the hiring process.
- Hours: Minimum 10 hours per week, up to 29 hours per week; set your own schedule
- Start date: ASAP
- Employment Type: W2 Part-Time Employee, payment every 2 weeks
- Longevity of project: 12 months (with possibility of extension).
This work is based on project needs. Weekly hours may vary.
Currently hiring in: Alabama, Florida, Georgia, Indiana, Kansas, Kentucky ,Missouri ,Montana, New Hampshire, North Carolina, Ohio, Oklahoma, Pennsylvania ,South Carolina, Tennessee, Texas, Utah, Virginia, West Virginia, Wisconsin.
Applicants must be of at least 18 years of age to apply.
Qualifications
- Fluent in both Spanish and English (written and spoken)
- Strong understanding of pop culture in the target locale
- Reliable computer system and internet connection
- Familiar understanding of how to use online search engines
- Sign a standard Non-Disclosure Agreement and Service Level Agreement
Additional Information
Hiring Process & Steps
Welocalize is committed to an inclusive and equitable hiring process. All applicants must complete the following hiring steps to be eligible for this project:
- Candidate Application
- Welocalize Review Application
- Candidate Learning, Assessment, and Qualification
- Welocalize Client Review
- Final Approval
The hiring process can take up to 14 days to complete.
When You Join Welo Data...
Welo Data is an award-winning data transformation company with offices across the world. We've quietly worked on some of the biggest tech projects in history, from data localization and translation to generative AI and deep learning.
When you join Welo Data, you'll have the opportunity to bring your career to the next level:
- Structured learning opportunities that grow your skills, knowledge, and specialties
- 24-hour, 6-day-a-week real human support from our Community Experience Team
- Access to long-term partnerships and unique projects across a variety of industries and content types
- Corporate and executive career opportunities to bolster your resume and grow your career
We are beyond proud to serve our clients, our employees, and the end-users of all the projects we work on. We hope you will join us on this journey into the future.