... across data preparation, model training, and evaluation for an AI team working with large-scale ... WHAT YOU WILL DO - Curate large-scale image and video datasets, manage labeling processes and ...
Quick apply
... across data preparation, model training, and evaluation for an AI team working with large-scale ... WHAT YOU WILL DO - Curate large-scale image and video datasets, manage labeling processes and ...
... across data preparation, model training, and evaluation for an AI team working with large-scale ... WHAT YOU WILL DO - Curate large-scale image and video datasets, manage labeling processes and ...
Quick apply
... across data preparation, model training, and evaluation for an AI team working with large-scale ... WHAT YOU WILL DO - Curate large-scale image and video datasets, manage labeling processes and ...
... across data preparation, model training, and evaluation for an AI team working with large-scale ... WHAT YOU WILL DO - Curate large-scale image and video datasets, manage labeling processes and ...
Quick apply
... across data preparation, model training, and evaluation for an AI team working with large-scale ... WHAT YOU WILL DO - Curate large-scale image and video datasets, manage labeling processes and ...
... across data preparation, model training, and evaluation for an AI team working with large-scale ... WHAT YOU WILL DO - Curate large-scale image and video datasets, manage labeling processes and ...
Quick apply
... across data preparation, model training, and evaluation for an AI team working with large-scale ... WHAT YOU WILL DO - Curate large-scale image and video datasets, manage labeling processes and ...
... across data preparation, model training, and evaluation for an AI team working with large-scale ... WHAT YOU WILL DO - Curate large-scale image and video datasets, manage labeling processes and ...
Quick apply
... across data preparation, model training, and evaluation for an AI team working with large-scale ... WHAT YOU WILL DO - Curate large-scale image and video datasets, manage labeling processes and ...
... across data preparation, model training, and evaluation for an AI team working with large-scale ... WHAT YOU WILL DO - Curate large-scale image and video datasets, manage labeling processes and ...
Quick apply
... across data preparation, model training, and evaluation for an AI team working with large-scale ... WHAT YOU WILL DO - Curate large-scale image and video datasets, manage labeling processes and ...
... across data preparation, model training, and evaluation for an AI team working with large-scale ... WHAT YOU WILL DO - Curate large-scale image and video datasets, manage labeling processes and ...
Quick apply
... across data preparation, model training, and evaluation for an AI team working with large-scale ... WHAT YOU WILL DO - Curate large-scale image and video datasets, manage labeling processes and ...
... across data preparation, model training, and evaluation for an AI team working with large-scale ... WHAT YOU WILL DO - Curate large-scale image and video datasets, manage labeling processes and ...
Quick apply
... across data preparation, model training, and evaluation for an AI team working with large-scale ... WHAT YOU WILL DO - Curate large-scale image and video datasets, manage labeling processes and ...
QA Engineer Intern - Unpaid
Miami, FL · On-site +1
Influur is redefining how advertising works - through creators, data, and AI. Our mission is to ... labels, artists, and brands go viral (think Bad Bunny). -Access to elite tools, AI copilots, and a ...
QA Engineer Intern - Unpaid
Miami, FL · On-site +1
Influur is redefining how advertising works - through creators, data, and AI. Our mission is to ... labels, artists, and brands go viral (think Bad Bunny). -Access to elite tools, AI copilots, and a ...
... white-labeling) to drive lead volume. * Bridge Product & Tech: Collaborate with Product and ... Data-Driven: You don't just "feel" like things are going well; you use dashboards and metrics to ...
... white-labeling) to drive lead volume. * Bridge Product & Tech: Collaborate with Product and ... Data-Driven: You don't just "feel" like things are going well; you use dashboards and metrics to ...
$31.01 - $48.84/hr
Ongoing need for employee to see and read information, labels, documents, monitors, identify ... If applying for a remote or hybrid role, this includes remote work expectations related to ...
$31.01 - $48.84/hr
Ongoing need for employee to see and read information, labels, documents, monitors, identify ... If applying for a remote or hybrid role, this includes remote work expectations related to ...
$31.01 - $48.84/hr
Ongoing need for employee to see and read information, labels, documents, monitors, identify ... If applying for a remote or hybrid role, this includes remote work expectations related to ...
$31.01 - $48.84/hr
Ongoing need for employee to see and read information, labels, documents, monitors, identify ... If applying for a remote or hybrid role, this includes remote work expectations related to ...
Add conduit labels and input parameters such as Conduit ID, To/From, and Panel Name. * Model ... Support prefab and construction teams with accurate and up-to-date model data. Qualifications
Add conduit labels and input parameters such as Conduit ID, To/From, and Panel Name. * Model ... Support prefab and construction teams with accurate and up-to-date model data. Qualifications
**Remote/Hybrid** Electrical BIM Modeler-Miller Electric Company
Jacksonville, FL · On-site +1
$30.25 - $40.55/hr
Add conduit labels and input parameters such as Conduit ID, To/From, and Panel Name. * Model ... Support prefab and construction teams with accurate and up-to-date model data. Qualifications
**Remote/Hybrid** Electrical BIM Modeler-Miller Electric Company
Jacksonville, FL · On-site +1
$30.25 - $40.55/hr
Add conduit labels and input parameters such as Conduit ID, To/From, and Panel Name. * Model ... Support prefab and construction teams with accurate and up-to-date model data. Qualifications
... to synthesize data into a key action/strategy and manage through from development to key ... Must work within label, and regulatory and legal compliance guidelines Physical Requirements and ...
... to synthesize data into a key action/strategy and manage through from development to key ... Must work within label, and regulatory and legal compliance guidelines Physical Requirements and ...
Designer (Civil3D)
Pensacola, FL · On-site +1
This position has the option to be hybrid, remote, or full onsite in Atlanta (midtown), GA ... Experience using/incorporating land or aerial surveying/mapping data and files. (required)
Designer (Civil3D)
Pensacola, FL · On-site +1
This position has the option to be hybrid, remote, or full onsite in Atlanta (midtown), GA ... Experience using/incorporating land or aerial surveying/mapping data and files. (required)
Data Labeler Remote information
What does a remote data labeler do?
A remote data labeler is responsible for annotating or tagging data—such as images, videos, audio, or text—from a remote location, typically working from home. Their work helps train machine learning models by providing accurate, labeled datasets that algorithms use to learn and make predictions. Data labelers follow specific guidelines to ensure consistency and accuracy, and may use specialized software tools to complete their tasks. This role is essential in industries like artificial intelligence, self-driving cars, and natural language processing. Remote data labelers often work as freelancers or as part of distributed teams for tech companies.
What are the key skills and qualifications needed to thrive as a remote data labeler?
To thrive as a Data Labeler Remote, you need strong attention to detail, basic data analysis skills, and familiarity with data annotation processes, often supported by a high school diploma or equivalent. Proficiency with labeling platforms, annotation tools, and sometimes knowledge of spreadsheet software are typically required. Reliability, time management, and effective communication are crucial soft skills for maintaining accuracy and meeting project deadlines in a remote setting. These skills ensure high-quality, consistent labeled data, which is essential for training reliable machine learning models.
What are some common challenges faced by remote data labelers and how can they be managed?
Remote data labelers often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistent annotation quality, and communicating effectively with distributed teams. To manage these, it's helpful to establish a structured work routine, take regular breaks to prevent fatigue, and use annotation guidelines provided by employers. Leveraging collaboration tools for feedback and clarification also helps maintain high-quality output and fosters a sense of connection with team members.
What is the difference between Data Labeler Remote vs Data Annotator Remote?
| Aspect | Data Labeler Remote | Data Annotator Remote |
|---|---|---|
| Credentials | Basic computer skills, attention to detail | Basic computer skills, attention to detail |
| Work Environment | Remote, flexible hours | Remote, flexible hours |
| Industry Usage | Common in AI/ML data preparation | Common in AI/ML data preparation |
| Job Focus | Labeling data points for machine learning | Annotating data for training AI models |
Both Data Labeler Remote and Data Annotator Remote roles involve preparing data for AI and machine learning projects. While the terms are often used interchangeably, Data Labeler Remote typically emphasizes labeling data points, whereas Data Annotator Remote may include more detailed annotation tasks. Both roles require similar skills and are performed remotely, making them accessible for individuals seeking flexible data-related jobs.
How much does a data labeler remote make?
Remote data labelers typically earn between $12 and $20 per hour, depending on experience, complexity of tasks, and the company. Some positions may offer additional incentives or flexible schedules, but wages generally align with entry-level data annotation roles in the industry.
Is data labeling a good career?
Data labeling is a common entry-level role in the AI and machine learning industry, involving annotating data such as images, text, or audio to train algorithms. It often offers flexible remote work options and requires attention to detail but typically has lower barriers to entry and limited career advancement without additional skills or certifications.
What are the most commonly searched types of Data Labeler jobs in Florida?
The most popular types of Data Labeler jobs in Florida are:
What are popular job titles related to Data Labeler Remote jobs in Florida?
For Data Labeler Remote jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Labeler Remote jobs in Florida look for?
The top searched job categories for Data Labeler Remote jobs in Florida are:
What cities in Florida are hiring for Data Labeler Remote jobs?
Cities in Florida with the most Data Labeler Remote job openings:
Junior/Middle Computer Vision Engineer ID72410
Tampa, FL • On-site, Remote
AgileEngine •
Software Development • 201 - 500 employees201 - 500 employees
Full-time
Posted 19 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