ANNOTATION & LABELLING: Transcription, summarization, image and video classification and labeling ... From institutional languages to remote field audio collection. * RELEVANCE & INTENT: Culturally ...
ANNOTATION & LABELLING: Transcription, summarization, image and video classification and labeling ... From institutional languages to remote field audio collection. * RELEVANCE & INTENT: Culturally ...
Image Labeling Remote information
See Miami, FL salary details
$9.89 - $10.47
3% of jobs
$10.47 - $11.06
3% of jobs
$11.06 - $11.64
11% of jobs
$11.86 is the 25th percentile. Wages below this are outliers.
$11.64 - $12.23
21% of jobs
The median wage is $12.76 / hr.
$12.23 - $12.81
13% of jobs
$12.81 - $13.40
11% of jobs
$13.40 - $13.98
4% of jobs
$14.40 is the 75th percentile. Wages above this are outliers.
$13.98 - $14.57
13% of jobs
$14.57 - $15.15
14% of jobs
$15.15 - $15.74
3% of jobs
$15.74 - $16.32
4% of jobs
$9
$13
$16
How much do image labeling remote jobs pay per hour?
As of Aug 3, 2026, the average hourly pay for image labeling remote in Miami, FL is $13.36, according to ZipRecruiter salary data. Most workers in this role earn between $11.97 and $14.71 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?
| Aspect | Image Labeling Remote | Data Annotation Specialist |
|---|---|---|
| Credentials | Basic computer skills, attention to detail | Basic computer skills, attention to detail |
| Work Environment | Remote, flexible hours | Remote or on-site, flexible hours |
| Industry Usage | AI, machine learning, computer vision | AI, machine learning, data processing |
| Search & Comparison Intent | Often compared for similar data labeling roles | Related 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.
What are popular job titles related to Image Labeling Remote jobs in Miami, FL? For Image Labeling Remote jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Image Labeling Remote jobs in Miami, FL look for? The top searched job categories for Image Labeling Remote jobs in Miami, FL are:
What cities near Miami, FL are hiring for Image Labeling Remote jobs? Cities near Miami, FL with the most Image Labeling Remote job openings:
Part-time
Re-posted 5 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.