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Remote Machine Learning Jobs in North Augusta, SC

Pae

Software Engineer

Aiken, SC · On-site +1

We are currently seeking a Software Engineer to be remote/hybrid. Experience/Skills Needed * Knowledge of the academic as well as the practical aspects of Software Engineering is required. Ongoing ...

All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in North Augusta, SC

Remote Machine Learning information

See North Augusta, SC salary details

$24K

$40K

$82.7K

How much do remote machine learning jobs pay per year?

As of Aug 29, 2026, the average yearly pay for remote machine learning in North Augusta, SC is $40,023.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,500.00 and $43,200.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

More about Remote Machine Learning jobs

What are popular job titles related to Remote Machine Learning jobs in North Augusta, SC?

For Remote Machine Learning jobs in North Augusta, SC, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning jobs in North Augusta, SC look for?

The top searched job categories for Remote Machine Learning jobs in North Augusta, SC are:

What cities near North Augusta, SC are hiring for Remote Machine Learning jobs?

Cities near North Augusta, SC with the most Remote Machine Learning job openings:

Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in North Augusta, SC as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $40,023 per year, or $19.2 per hour.

Content Automation Specialist

Fruit Hill, SC • Remote

1 point system
IT Services • 51 - 200 employees
Learn more about 1 point systemexternal

Contractor

Re-posted 16 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.