AI Development Support Assistant Needed
Budget / Salary$30–250
TypeFreelance project
LocationRemote
Posted1 hour ago
I’m an electrical engineer branching into artificial-intelligence projects and I need a reliable virtual assistant to keep the day-to-day work organised while I focus on model design. The role is entry-level, so if you have a solid grasp of basic AI concepts and genuine curiosity, that’s perfect—I’ll guide you through the technical pieces.
Your help will centre on three areas:
• Data entry – preparing training datasets, renaming files, updating experiment logs and keeping version-control notes tidy.
• Research & documentation – gathering academic papers or blog posts on relevant architectures, summarising key findings, and turning rough notes into clear, structured docs.
• Testing & troubleshooting – running scripted tests, recording metrics, flagging anomalies, and reproducing simple bugs before I dive into the code.
My current toolchain is still open; we may experiment with frameworks such as TensorFlow, PyTorch or Keras depending on project direction, so adaptability is important. Strong communication, careful attention to detail and a proactive attitude outweigh years of experience here.
Deliverables will include neatly formatted spreadsheets or CSVs, concise research summaries, and issue reports with steps to reproduce. Everything should be pushed to our shared Git repository or cloud drive, following the conventions I’ll outline in our kickoff call.
If you’re eager to grow alongside a real-world AI project and can commit a few focused hours each week, I’d love to collaborate.
Your help will centre on three areas:
• Data entry – preparing training datasets, renaming files, updating experiment logs and keeping version-control notes tidy.
• Research & documentation – gathering academic papers or blog posts on relevant architectures, summarising key findings, and turning rough notes into clear, structured docs.
• Testing & troubleshooting – running scripted tests, recording metrics, flagging anomalies, and reproducing simple bugs before I dive into the code.
My current toolchain is still open; we may experiment with frameworks such as TensorFlow, PyTorch or Keras depending on project direction, so adaptability is important. Strong communication, careful attention to detail and a proactive attitude outweigh years of experience here.
Deliverables will include neatly formatted spreadsheets or CSVs, concise research summaries, and issue reports with steps to reproduce. Everything should be pushed to our shared Git repository or cloud drive, following the conventions I’ll outline in our kickoff call.
If you’re eager to grow alongside a real-world AI project and can commit a few focused hours each week, I’d love to collaborate.
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