- 経験
- 3+ yrs
- 給料
- USD 60 – USD 100 / hour
- 求人情報
- 1
- 投稿済み
- 12時間前
- Work mode
- 在宅勤務
- 教育
- Bachelor's degree
- Eligibility
- Professionals with a bachelor's degree from the U.S., Canada, New Zealand, the UK, or Australia and at least 3 years of relevant data science or applied analytics experience may apply. The role is suited to independent contributors who can work remotely and asynchronously.
- Resume
- Required to apply
仕事内容
About the role
Mercor works with top-tier creative and technical professionals and matches them with leading AI research labs. The company is based in San Francisco and is backed by investors such as Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
This opening is for exceptional data scientists who can contribute to machine learning-focused work on a contract basis. The role is remote and requires a commitment of 20 to 40 hours per week. Compensation is set at $60 to $100 per hour.
What you'll do
- Plan experiments and collect data to support machine learning use cases.
- Clean, prepare, and examine large datasets to develop predictive models.
- Assess and enhance AI models using TensorFlow or PyTorch.
- Partner with engineering teams to take solutions into production.
- Draft, check, and verify prompt-based questions used for AI system training.
- Work autonomously and asynchronously while meeting deadlines and improving model outcomes.
Requirements
- At least 3 years of professional experience in data science or applied analytics.
- Strong hands-on ability in Python and Jupyter notebooks.
- Practical experience with libraries such as NumPy, pandas, SciPy, SymPy, scikit-learn, PyTorch, and TensorFlow.
- A bachelor's degree in data science, statistics, computer science, or a related subject from the U.S., Canada, New Zealand, the UK, or Australia.
- Solid grounding in exploratory data analysis, statistical inference, machine learning pipelines, model assessment, feature engineering, data preparation, data wrangling, A/B testing, experimentation, or causal inference.
- Clear verbal and written communication skills.
- Careful attention to detail.
Additional information
Start date: early September. Applications are evaluated on a rolling basis.
Application process
The application is expected to take about 20 to 30 minutes. Candidates are asked to submit a resume or project portfolio and complete a short form covering technical background and experience using agents. Successful applicants will be contacted with the next steps as reviews continue.
Support and resources
For interview process details and platform information, refer to the provided talent documentation. For help or support, contact the support team by email.
Note
The team reviews applications daily, and candidates should complete the AI interview and all application steps to be considered.