Junior AI Data Developer Needed
Budget: $2 – $8 USD
I’m expanding our analytics group and would like to bring on a junior-level developer who already feels comfortable with Python and the core ideas behind machine learning. Your professional experience can be under a year; what matters is that you can write clean code, wrangle raw data into usable form, and discuss why a given model or metric makes sense.
Here is what you’ll dive into from day one:
• Collecting and cleaning varied datasets, then storing them in a tidy, reproducible structure.
• Building and tweaking lightweight ML models for first-pass predictions or classifications.
• Exploring results through descriptive statistics and simple visualisations so the senior team can quickly see what matters.
• Summarising your findings in clear English, Ukrainian or Spanish if preferred.
Our stack centres on Python. If you have side-projects, Kaggle notebooks, or GitHub repos that show your curiosity for AI, send them over.
You can work remotely from Europe, LATAM, the US, Canada, India, or the Philippines. The only scheduling requirement is two hours of daily crossover with Central European Time so we can pair-program or review pull requests together.
Deliverable acceptance criteria
– A cleaned dataset stored with version control.
– A reproducible notebook or script that trains and evaluates at least one ML model.
– A short written summary with visuals highlighting key insights.
If you’re proactive, detail-oriented, and ready to learn quickly, I’d love to read your proposal and see how we can grow together.
Here is what you’ll dive into from day one:
• Collecting and cleaning varied datasets, then storing them in a tidy, reproducible structure.
• Building and tweaking lightweight ML models for first-pass predictions or classifications.
• Exploring results through descriptive statistics and simple visualisations so the senior team can quickly see what matters.
• Summarising your findings in clear English, Ukrainian or Spanish if preferred.
Our stack centres on Python. If you have side-projects, Kaggle notebooks, or GitHub repos that show your curiosity for AI, send them over.
You can work remotely from Europe, LATAM, the US, Canada, India, or the Philippines. The only scheduling requirement is two hours of daily crossover with Central European Time so we can pair-program or review pull requests together.
Deliverable acceptance criteria
– A cleaned dataset stored with version control.
– A reproducible notebook or script that trains and evaluates at least one ML model.
– A short written summary with visuals highlighting key insights.
If you’re proactive, detail-oriented, and ready to learn quickly, I’d love to read your proposal and see how we can grow together.