AI/ML Data Contributor

tsmgNew Orleans, LA

Hybrid Contract

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Experience Level

Entry Level

Qualifications

Successful candidates will possess an interest in AI and machine learning technologies, along with a keen eye for detail. Familiarity with data labeling and evaluation processes is preferred but not mandatory. Strong communication skills and the ability to work independently are essential.

About the job

Main responsibilities

Label data sets and review content to assist ongoing AI and machine learning initiatives
Take part in user-based testing, which may involve working with devices or virtual reality systems
Contribute to projects that differ in size and format, adapting to changing requirements

Work structure

Assignments are flexible and organized around specific tasks
Roles may be remote, in-person, or a combination of both
There is a possibility to participate in multiple projects over time

About tsmg

tsmg is a forward-thinking company at the forefront of AI and machine learning innovation. We are dedicated to leveraging cutting-edge technology to improve user experiences across various platforms.

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AI/ML Data Contributor

tsmg

Contract|Hybrid|New Orleans, LA

tsmg seeks AI/ML Data Contributors in New Orleans, LA to assist with projects that enhance machine learning models. This position centers on hands-on tasks that directly support the development and improvement of AI systems. Key responsibilities Label and annotate data sets for AI and machine learning initiatives Review and evaluate content to inform model t…

Apr 27, 2026

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AI/ML Data Contributor

tsmg

Contract|Hybrid|New Orleans, LA

tsmg is hiring an AI/ML Data Contributor based in New Orleans, LA. This position plays a key part in supporting machine learning projects by working directly with data across a range of assignments nationwide. Main responsibilities Label datasets to assist in training and improving AI models Review and assess content for accuracy and relevance Take part in user-focused testing, which may include device and virtual reality evaluations Work structure Assignments vary in scope and format. Both remote and in-person work are available, depending on the project. Some tasks require hands-on testing with devices or VR equipment. The role is task-based and flexible, so contributors can participate in several projects as their schedules allow.

Apr 27, 2026

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AI/ML Data Contributor

tsmg

Contract|Hybrid|New Orleans, LA

tsmg seeks an AI/ML Data Contributor based in New Orleans, LA. This role supports the development of machine learning models by working directly with data and evaluating content across a variety of projects. Main responsibilities Label data sets and review content to assist ongoing AI and machine learning initiatives Take part in user-based testing, which may involve working with devices or virtual reality systems Contribute to projects that differ in size and format, adapting to changing requirements Work structure Assignments are flexible and organized around specific tasks Roles may be remote, in-person, or a combination of both There is a possibility to participate in multiple projects over time

Apr 27, 2026

Apply

AI/ML Data Contributor

tsmg

Contract|Hybrid|New Orleans, LA

tsmg seeks an AI/ML Data Contributor based in New Orleans, LA to support ongoing machine learning projects. This position centers on labeling data, evaluating content, and taking part in user testing. The work directly supports the development and improvement of algorithms for various initiatives across the United States. Main responsibilities Label and annotate data sets for use in AI and machine learning models Review and evaluate content to help meet project objectives Participate in user testing, which may involve working with devices or virtual reality systems Work structure Projects differ in scope and timing, offering flexibility in how contributors participate. Some tasks can be completed remotely, while others may require being on-site for certain tests. The work is organized by task, allowing contributors to join multiple projects as their schedules permit.

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