Machine Learning Engineers (Time Series): Part-Time AI Training Work

We're hiring Machine Learning engineers to assist with an ongoing technical evaluation project centered on time series data. This work feeds directly into improving the reasoning and accuracy of advanced computational models. Your domain expertise will help us build more robust, reliable analytical systems.

You will complete hands-on engineering tasks related to machine learning and time series analysis. The work is asynchronous and requires about 14 hours of commitment per week. You will be provided with specific technical prompts, datasets, or codebases to review, troubleshoot, or build upon. Throughout the process, you will submit your solutions and document your reasoning in a remote workspace.

We welcome Machine Learning engineers, data scientists, and AI researchers with strong applied technical backgrounds. You should have professional experience specifically handling time series forecasting, modeling, or analysis. We also welcome backend engineers and data engineers who have transitioned into heavy ML roles.

• Complete complex engineering tasks focused on machine learning and time series data.
• Review and troubleshoot existing code or models to improve performance.
• Commit approximately 14 hours per week to asynchronous technical work.
• Document your problem-solving steps and technical reasoning clearly.

• Professional experience as a Machine Learning Engineer or Data Scientist.
• Hands-on expertise working with time series data and forecasting models.
• Comfortable working independently in a remote, asynchronous environment.
• Availability to commit about 14 hours per week on an ongoing basis.

• You will be engaged as an independent contractor.
• This is a fully remote opportunity that can be completed on your own schedule.
• Opportunities can be extended, shortened, or concluded early depending on needs and performance.
• Your participation will not involve access to confidential or proprietary information from any employer, client, or institution.
• Payments are processed weekly based on services rendered.
• We are unable to support H1-B or STEM OPT candidates at this time.