Evaluate quantitative AI outputs remotely while applying statistical methods, predictive modeling, and rigorous analytical judgment on your own schedule.
DataAnnotation seeks an experienced Experimentation Analyst and AI Trainer to support AI development. You will assess whether analytical and scientific reasoning holds up in practice. Your background may include data science, economics, biostatistics, astrophysics, or another quantitative field.
Key Responsibilities:
- Evaluate statistical analysis and predictive modeling for technical accuracy
- Assess scientific reasoning and data-driven insights for validity
- Design quantitative problems for AI training and benchmarking
- Write clear technical explanations and analytical code
- Provide feedback shaping quantitative AI reasoning
Requirements:
- Two or more years in quantitative work or research
- Coding experience writing and reviewing analytical code end-to-end
- Experience with statistical methods and predictive modeling
- Practical experiment design experience, including A/B testing
- Fluent English and strong writing skills
Apply quantitative expertise, experiment design, and coding skills to evaluate and improve DataAnnotation AI systems remotely.
Remote Quantitative AI Trainer in Victoria employer: DataAnnotation
At DataAnnotation, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to make a real impact in the field of AI and electronics. As an Electrical Engineer AI Evaluator, you will enjoy flexible remote work options, competitive compensation, and opportunities for professional growth, all while contributing to cutting-edge projects that shape the future of technology. Join us to be part of a dynamic team where your expertise is valued and your contributions drive meaningful advancements.
