Build robust pipelines for training, evaluation, and deployment of RL models. * Document workflows ... Strong programming skills in Python; familiarity with Rust or other languages is a plus.
Build robust pipelines for training, evaluation, and deployment of RL models. * Document workflows ... Strong programming skills in Python; familiarity with Rust or other languages is a plus.
Remote Python Trainer information
See Carthage, TN salary details
$12.32 - $18.51
1% of jobs
$18.51 - $24.70
0% of jobs
$24.70 - $30.89
2% of jobs
$30.89 - $37.08
5% of jobs
$37.08 - $43.26
11% of jobs
$45.08 is the 25th percentile. Wages below this are outliers.
$43.26 - $49.45
18% of jobs
The median wage is $52.68 / hr.
$49.45 - $55.64
24% of jobs
$60.38 is the 75th percentile. Wages above this are outliers.
$55.64 - $61.83
18% of jobs
$61.83 - $68.02
13% of jobs
$68.02 - $74.21
5% of jobs
$74.21 - $80.40
3% of jobs
$12
$54
$80
How much do remote python trainer jobs pay per hour?
What is the difference between Remote Python Trainer vs Remote Data Scientist?
| Aspect | Remote Python Trainer | Remote Data Scientist |
|---|---|---|
| Required Credentials | Python certifications, teaching experience | Statistics, programming, Python, data analysis certifications |
| Work Environment | Online training platforms, educational institutions | Research organizations, tech companies, consulting firms |
| Employer & Industry Usage | Educational, e-learning, corporate training | Tech, finance, healthcare, research |
| Search & Comparison Intent | Learning, teaching, curriculum development | Data analysis, modeling, machine learning |
While both roles require Python knowledge, Remote Python Trainers focus on teaching and curriculum development, often in educational or corporate settings. Remote Data Scientists analyze data, build models, and derive insights, typically working in research or tech industries. The roles overlap in Python skills but differ in their primary focus and work environment.
Contractor
Posted 23 days ago
Job description
Job Responsibilities
- Design, implement, and optimize Proximal Policy Optimization (PPO) algorithms for domain-specific use cases.
- Develop and train reinforcement learning models for real-world applications, focusing on efficiency and scalability.
- Collaborate with cross-functional teams to integrate PPO models into production systems.
- Analyze model performance and experiment with hyperparameter tuning to achieve optimal results.
- Stay up-to-date with the latest research and advancements in reinforcement learning and apply them to enhance existing solutions.
- Build robust pipelines for training, evaluation, and deployment of RL models.
- Document workflows, methodologies, and code for reproducibility and knowledge sharing.
Qualifications
- Educational Background: Bachelor's or Master's degree in Computer Science, Machine Learning, AI, Mathematics, or related fields. Ph.D. is a plus.
- Experience:
- 4+ years of professional experience in machine learning, with a focus on reinforcement learning.
- Demonstrated expertise in implementing and optimizing PPO or similar reinforcement learning algorithms.
- Hands-on experience with frameworks like TensorFlow, PyTorch, or JAX.
- Technical Skills:
- Strong programming skills in Python; familiarity with Rust or other languages is a plus.
- Proficiency in designing and running RL experiments in simulated or real-world environments.
- Experience with distributed training systems for reinforcement learning.
- Solid understanding of policy gradient methods and reinforcement learning theory.
- Soft Skills:
- Excellent problem-solving skills and the ability to work in a collaborative, fast-paced environment.
- Strong communication skills for presenting findings and collaborating with interdisciplinary teams.
Preferred Qualifications
- Experience in applying PPO to [specific domain, e.g., robotics, gaming, finance, etc.]
- Familiarity with OpenAI Gym, RLlib, or other RL development environments
- Knowledge of parallel computing and GPU acceleration for large-scale RL tasks
What We Offer
- Remote work location.
- Competitive salary.
- Flexible work schedule.
- Opportunities for professional development and research contributions
- Access to state-of-the-art resources and tools for AI development.
- The chance to work on groundbreaking projects with a talented and passionate team.