ZipRecruiter

Log In

2

Machine Learning Intern Remote Jobs in Greenwood, SC

All JobsMachine Learning Intern JobsMachine Learning Intern Remote JobsMachine Learning Intern Remote Jobs in Greenwood, SC

Machine Learning Intern Remote information

See Greenwood, SC salary details

$23.4K

$39.1K

$80.9K

How much do machine learning intern remote jobs pay per year?

As of Aug 1, 2026, the average yearly pay for machine learning intern remote in Greenwood, SC is $39,146.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,900.00 and $42,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Intern (Remote), and why are they important?

To thrive as a Machine Learning Intern (Remote), a solid understanding of programming (especially Python), statistics, and foundational machine learning concepts—often supported by coursework or a relevant degree—is essential. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and version control systems (e.g., Git) is typically required, along with experience using data analysis libraries. Strong problem-solving skills, initiative, and clear communication are valuable soft skills for collaborating virtually and adapting to remote work environments. These skills and qualities enable effective contribution to projects, smooth team communication, and successful learning in a dynamic, distributed setting.

What types of projects can I expect to work on as a remote Machine Learning Intern?

As a remote Machine Learning Intern, you can typically expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of models into production environments. You may also help with tasks like feature engineering, exploratory data analysis, and preparing technical documentation. Collaboration is usually done through virtual meetings and code repositories, and you'll often work closely with data scientists, engineers, and mentors who provide guidance and feedback. This hands-on experience helps you gain exposure to industry-standard tools and workflows, preparing you for more advanced roles in the future.

What does a Machine Learning Intern do when working remotely?

A remote Machine Learning Intern typically assists with data collection, cleaning, and analysis, helps develop and test machine learning models, and collaborates with team members through virtual meetings and code repositories. They may also research new algorithms, document their work, and present findings to their supervisors. The role provides hands-on experience in applying machine learning concepts to real-world problems while working from a remote location.
What job categories do people searching Machine Learning Intern Remote jobs in Greenwood, SC look for? The top searched job categories for Machine Learning Intern Remote jobs in Greenwood, SC are:
What cities near Greenwood, SC are hiring for Machine Learning Intern Remote jobs? Cities near Greenwood, SC with the most Machine Learning Intern Remote job openings:
Machine Learning Intern Remote jobs near you

Content Automation Specialist

1 point system

Fruit Hill, SC • Remote

Contractor

Posted 17 days ago

Job description

Requirement - Content Automation Specialist

Location- 100% Remote

Contract W2

Ex- Microsoft

Must Haves:
Python
Testing Framework
Some AI knowledge
Job Description:
Overview
We are seeking a highly technical and strategic Content Automation Specialist to transform how content quality is validated across Microsoft 365 and Copilot experiences.
This role focuses on designing scalable evaluation systems, automated testing workflows, and AI-assisted quality frameworks that increase efficiency while maintaining human-centered quality standards. The ideal candidate understands where automation can replace manual review, where human evaluation remains critical, and how to build systems that continuously improve content quality at scale.
This individual will partner with cross-functional teams to define testing strategies, build evaluation frameworks, develop automation opportunities, and shape the future of content quality operations.
Responsibilities
Quality Systems Strategy
• Design scalable testing and evaluation frameworks for content, templates, prompt templates, and AI-generated experiences.
• Define quality measurement approaches and establish testing standards across content ecosystems.
• Create recommendations for balancing automation, AI evaluation, and human review.
Automation & Tooling
• Develop and implement automated testing workflows and validation systems.
• Build tools and processes that reduce manual effort while maintaining content quality.
• Identify opportunities to leverage AI for defect detection, content validation, and quality assurance.
Human Evaluation & AI Quality
• Design human-in-the-loop evaluation frameworks for assessing AI outputs.
• Establish quality rubrics, benchmarking criteria, and testing methodologies.
• Determine where human judgment adds measurable value and where automation can scale operations.
Data & Optimization
• Analyze testing metrics and operational data to identify improvement opportunities.
• Develop recommendations that improve quality, efficiency, and testing coverage.
• Measure the effectiveness of testing systems and continuously optimize workflows.
Cross-Functional Leadership
• Partner with cross-functional teams on automation recommendations and evaluations of quality risks.
• Drive adoption of testing standards and scalable evaluation practices.
• Influence long-term strategy for content quality and AI evaluation programs.
Required Qualifications
• Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, AI, or related field.
• 2-4 years of experience in test automation, quality engineering, AI evaluation, or systems development.
• Strong experience with Python and automation tooling.
• Experience with Copilot, VSCode, and other AI tooling and infrastructure.
• Experience building testing frameworks, quality systems, or workflow automation solutions.
• Experience interpreting data and translating findings into strategic recommendations.
• Strong technical problem-solving and systems-thinking skills.
Preferred Qualifications
• Experience evaluating generative AI systems or LLM-powered products.
• Experience designing human evaluation programs or human-in-the-loop workflows.
• Familiarity with content quality measurement and content operations.
• Experience working with machine learning, AI quality, or model evaluation frameworks.
• Understanding of Microsoft 365, Copilot, or productivity software ecosystems.
• Experience building internal tools, dashboards, or quality monitoring systems.