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Hourly Remote Data Annotation Jobs in Valrico, FL

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by ...

General Counsel - Remote

Tampa, FL · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by ...

AI Legal Counsel - Remote

Tampa, FL · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by ...

Showing results 41-60

Hourly Remote Data Annotation information

What is hourly remote data annotation?

Hourly remote data annotation involves labeling or categorizing data, such as images, text, or audio, for use in machine learning and artificial intelligence projects. Annotators work from home and are usually paid by the hour to review and tag data according to specific guidelines provided by the employer. This work is essential for training algorithms to recognize patterns or interpret information accurately. Data annotation tasks vary and can include image classification, text categorization, or identifying objects within media. It’s a popular entry-level remote job that requires attention to detail and the ability to follow instructions closely.

What are the key skills and qualifications needed to thrive as an hourly remote data annotation specialist?

To excel as an Hourly Remote Data Annotation Specialist, you need strong attention to detail, accuracy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency with annotation platforms, labeling tools (like Labelbox or Supervisely), and sometimes basic knowledge of spreadsheets or image/video editing software is typically required. Reliability, time management, and clear communication are vital soft skills for succeeding in a remote, deadline-driven environment. These abilities ensure high-quality, consistent annotations that are critical for training AI models and meeting project requirements.

What are some common challenges faced by hourly remote data annotation workers and how can they be addressed?

Hourly remote data annotation workers often encounter challenges such as repetitive tasks, maintaining high accuracy, and managing time effectively without direct supervision. To address these, it's important to establish a structured daily routine, take regular breaks to prevent fatigue, and utilize any quality control guidelines provided by the employer. Staying in regular communication with team leads or project managers can also help clarify any ambiguities and ensure consistent work quality.

What is the difference between Hourly Remote Data Annotation vs Hourly Remote Data Labeling?

AspectHourly Remote Data AnnotationHourly Remote Data Labeling
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML projects for training dataCommon in AI/ML projects for training data
Job FocusAdding annotations to data (e.g., bounding boxes, tags)Assigning labels to datasets for model training

Both roles involve working remotely to prepare data for machine learning models. Data annotation typically involves marking specific features within data, while data labeling involves categorizing data into predefined classes. The skills and work environment are similar, making them closely related but distinct tasks within AI data preparation.

What job categories do people searching Hourly Remote Data Annotation jobs in Valrico, FL look for?

The top searched job categories for Hourly Remote Data Annotation jobs in Valrico, FL are:

What cities near Valrico, FL are hiring for Hourly Remote Data Annotation jobs?

Cities near Valrico, FL with the most Hourly Remote Data Annotation job openings:

Junior/Middle Computer Vision Engineer ID72410

AgileEngine

Tampa, FL • On-site, Remote

Full-time

Posted 14 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.