Careers at Best Trave
People who teach what they actually do
Best Trave builds online education around deep learning in finance - a field where practitioners and educators rarely overlap. We look for people who sit at that intersection.
Roles here are remote-first and open to candidates regardless of location. What matters is depth of knowledge and the ability to explain it clearly.
Open positions
Where your background fits the work directly
Every role connects directly to how we build and deliver courses. There are no generalist positions - each opening requires specific knowledge in either financial modelling, machine learning, or instructional design for technical audiences.
Hover over a card to read what each role involves day to day.
Curriculum Designer
Full-time · Remote
You structure course sequences for deep learning topics applied to financial data - credit scoring models, time-series forecasting, portfolio risk. Strong background in instructional design for technical subjects required.
Global · Krugersdorp HQ optional
Quantitative Instructor
Contract · Remote
You deliver live and recorded sessions on neural network architectures used in quantitative finance - transformers for market prediction, LSTM-based risk models. Prior experience presenting to mixed technical audiences is essential.
Fully remote · Any timezone
ML Research Editor
Part-time · Remote
You review and edit technical content - notebooks, written explanations, problem sets - for accuracy and clarity. You catch errors in gradient derivations as readily as in sentence structure. Python and finance domain knowledge both required.
Flexible · Async-first
Student Success Advisor
Full-time · Remote
You support enrolled students through the course experience - answering questions about content, helping with pacing, and flagging where material needs improvement. Background in finance education or mentoring is preferred over pure customer service experience.
Global · Overlap with SAST preferred
Platform Developer
Contract · Remote
You build and maintain the technical infrastructure of the learning platform - video delivery, interactive notebooks, progress tracking. Experience with edtech tooling and Python-based environments is more relevant than general full-stack breadth.
Fully remote · Any timezone
Open Application
Various · Remote
Your background sits at the edge of finance and machine learning but none of the listed roles fit precisely. Send a short note describing what you do and what you would contribute. We review these regularly and reach out when a relevant need arises.
Global · No restrictions