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Part Time Remote Machine Learning Jobs in Georgia

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Part Time Remote Machine Learning information

What are the key skills and qualifications needed to thrive as a Part Time Remote Machine Learning professional, and why are they important?

To thrive as a Part Time Remote Machine Learning professional, you need a strong grasp of mathematics, statistics, programming (commonly Python), and a relevant educational background such as a degree in computer science or a related field. Familiarity with machine learning frameworks (e.g., TensorFlow, scikit-learn, PyTorch) and version control systems like Git is typically required. Excellent time management, self-motivation, and clear communication skills are crucial for navigating remote collaboration and project deadlines. These skills ensure that you can independently deliver high-quality ML solutions while effectively contributing to distributed teams.

What are part time remote machine learning jobs?

Part time remote machine learning jobs are positions where professionals work on machine learning projects or tasks for a limited number of hours per week, and do so from a location outside the traditional office environment, often from home. These roles typically involve developing, testing, or deploying machine learning models, analyzing data, and collaborating with teams online. They are ideal for people seeking flexibility, such as students, freelancers, or individuals balancing other commitments, while contributing to projects in fields like AI, data science, or analytics.

How do part-time remote machine learning roles typically structure collaboration and communication with the rest of the team?

Part-time remote machine learning professionals often collaborate with teams using digital tools such as Slack, Zoom, and project management platforms like Jira or Trello. Regular check-ins, virtual stand-ups, and shared documentation ensure alignment on project goals and timelines despite differing work hours. Clear communication and proactive updates are important, as team members may be dispersed across time zones and working non-overlapping schedules. Flexibility and self-motivation are key to staying connected and contributing effectively in this distributed work environment.

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

AspectPart Time Remote Machine LearningPart Time Remote Data Scientist
Required CredentialsDegree in Computer Science, Data Science, or related field; knowledge of ML frameworksDegree in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentRemote, flexible hours, project-basedRemote, collaborative teams, project-focused
Industry UsageTech, finance, healthcare, e-commerceTech, finance, marketing, research
Common Search IntentPart Time Remote Machine Learning jobs, freelance ML rolesPart Time Remote Data Scientist jobs, freelance data roles

Part Time Remote Machine Learning roles focus on developing algorithms and models, often requiring programming and ML frameworks. Part Time Remote Data Scientist positions involve analyzing data, creating insights, and may include statistical analysis. Both roles are remote and flexible but differ in core responsibilities and skill sets.

What are popular job titles related to Part Time Remote Machine Learning jobs in Georgia? For Part Time Remote Machine Learning jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Part Time Remote Machine Learning jobs in Georgia look for? The top searched job categories for Part Time Remote Machine Learning jobs in Georgia are:
What cities in Georgia are hiring for Part Time Remote Machine Learning jobs? Cities in Georgia with the most Part Time Remote Machine Learning job openings:
Part Time Remote Machine Learning jobs near you
Infographic showing various Part Time Remote Machine Learning job openings in Georgia as of June 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution.
Associate Game Developer (Cocos2d) - Remote

Associate Game Developer (Cocos2d) - Remote

micro1 AI

Atlanta, GA • Remote

$50 - $110/hr

Part-time

Posted 8 days ago

Job description

Job Title: Cocos2d-x Junior Game Developer


Job Type: Contractor


Location: Remote


Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Develop and refine game logic, mechanics, and features using Cocos2d-x for prototype and production-level projects.
  2. Collaborate closely with the customer's team to provide high-quality real-world input for AI training processes.
  3. Create, modify, and troubleshoot game assets and scenes to support a diverse set of training objectives.
  4. Test, debug, and optimize Cocos2d-x code to ensure robust and efficient gameplay experiences.
  5. Document code and processes thoroughly, ensuring clarity for both technical and non-technical stakeholders.
  6. Engage in open, clear written and verbal communication to report project status and challenges.
  7. Work iteratively in response to feedback, consistently improving deliverables for AI development needs.


Required Skills and Qualifications:

  1. Solid knowledge of Cocos2d-x and hands-on experience with 2D game development workflows.
  2. Strong problem solving and troubleshooting abilities in a game development context.
  3. Experience collaborating remotely with distributed teams in a fast-paced environment.
  4. Excellent written and verbal communication skills, with a focus on clear, concise updates and documentation.
  5. Ability to follow technical specifications and adapt to evolving project requirements.
  6. Understanding of game design principles and player experience optimization.
  7. Self-motivated, detail-oriented, and eager to grow within a dynamic AI training environment.


Preferred Qualifications:

  1. Experience working on projects for AI training or data generation purposes.
  2. Familiarity with additional game engines or programming languages.
  3. Background in collaborating with AI or machine learning specialists.

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