Data Scientist (Remote)
Hired · United States
- Hybrid
- Contract
- $120,000 / year
- United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Train next-gen AI systems with your domain expertise.
- Design, develop, and implement ML models.
- Analyze large, complex datasets for insights.
- Collaborate with AI researchers and engineers globally.
- Work with a global leader in AI development.
About the role
Data Scientist (Remote)
We are hiring for one of our clients, seeking a Data Scientist to work on a contractor basis. In this role, you will apply your domain expertise to help train next-generation AI systems by providing high-quality, real-world input that shapes how models learn, reason, and perform. Your contributions will directly influence the development of reliable AI agents across industries such as finance, healthcare, and engineering. No prior experience in AI is required—your specialized knowledge is the asset that matters most.
Key Responsibilities
- Design, develop, and implement advanced machine learning models for AI training initiatives, ensuring alignment with project goals and technical requirements.
- Analyze and interpret large, complex datasets to extract actionable insights that guide strategic decisions and project direction.
- Collaborate with cross-functional teams, including AI researchers and engineers, to clarify requirements and deliver data-driven solutions.
- Evaluate the efficacy of data-driven solutions through rigorous testing and validation, contributing to continuous improvement of AI model performance.
- Maintain data security protocols and ensure compliance with technical documentation standards throughout all phases of model development.
- Validate data accuracy and integrity to support reliable AI training and reinforcement learning environments.
Required Skills & Qualifications
- Proficiency in Python with hands-on experience developing machine learning models, statistical analysis, and data mining techniques.
- Strong understanding of deep learning frameworks and their application in real-world AI training scenarios.
- Experience with Google Cloud Platform (GCP) for large-scale data processing, model deployment, and cloud-based analytics.
- Ability to develop and maintain technical documentation to ensure clarity and reproducibility of data processes.
- Demonstrated commitment to data security best practices, including validation and protection of sensitive information.
- Excellent written and verbal communication skills to facilitate effective collaboration across global teams.
- High attention to detail and proactive problem-solving mindset to address complex data challenges efficiently.
More About the Opportunity
This role offers a unique opportunity to work with a global leader in the AI and technology industry, contributing directly to the development of frontier AI models through advanced evaluations and reinforcement learning environments. You will join a rapidly growing network of domain experts whose contributions enable AI systems to perform across diverse domains. The position provides global exposure, impactful work, and the chance to shape the future of AI while collaborating with top-tier talent worldwide.
Equal Opportunity Employer
We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.
Key skills/competency
- Data Scientist
- Machine Learning
- Python
- Data Analysis
- Deep Learning
- Google Cloud Platform (GCP)
- AI Training
- Data Security
- Statistical Analysis
- Problem-solving
Skills & topics
- Data Scientist
- Machine Learning
- Python
- Data Analysis
- Deep Learning
- Google Cloud Platform
- AI Training
- Data Security
- Statistical Analysis
- Problem-solving
- Remote
- Contractor
How to get hired
- Tailor your resume: Highlight Python, ML, GCP, and data analysis skills.
- Showcase your expertise: Emphasize domain knowledge for AI training.
- Prepare for technical interviews: Practice ML model design and data interpretation.
- Demonstrate problem-solving: Detail how you've handled complex data challenges.
- Communicate clearly: Prepare to discuss your experience effectively.
Technical preparation
Master Python for ML and data analysis.,Study deep learning frameworks and GCP.,Practice designing ML models for AI training.,Review data validation and security protocols.
Behavioral questions
Describe a complex data challenge you solved.,How do you ensure data accuracy and integrity?,Explain your collaboration process with technical teams.,How do you approach technical documentation?
Frequently asked questions
- What is the primary focus of the Data Scientist role at Hired?
- The primary focus of the Data Scientist role is to apply domain expertise to train next-generation AI systems by providing high-quality, real-world input that shapes how models learn, reason, and perform.
- Is prior AI experience required for this Data Scientist position?
- No, prior experience in AI is not required for this Data Scientist position. Your specialized knowledge is the most valued asset.
- What programming languages and tools are essential for this Data Scientist role?
- Proficiency in Python is essential, along with experience in machine learning models, statistical analysis, data mining, and the Google Cloud Platform (GCP).
- What industries will the AI systems developed by this Data Scientist impact?
- The AI systems will impact various industries, including finance, healthcare, and engineering.
- What is the work arrangement for this Data Scientist position?
- This Data Scientist position is fully remote, allowing you to work from anywhere.
- How does Hired ensure fair hiring practices for this Data Scientist role?
- Hired hires based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.
- What kind of datasets will the Data Scientist be working with?
- The Data Scientist will analyze and interpret large, complex datasets to extract actionable insights and ensure data accuracy and integrity for AI training.
- What are the key collaboration aspects of this Data Scientist role?
- The Data Scientist will collaborate with cross-functional teams, including AI researchers and engineers, to clarify requirements and deliver data-driven solutions.