Job summary
Job post source
This job is directly from DataAnnotation
Job overview
The Research Scientist (Biology) role at DataAnnotation involves training AI models by evaluating and improving AI chatbot performance in biology-related tasks.
Responsibilities and impact
The role requires giving AI chatbots complex biology problems, evaluating their outputs for quality and correctness, and improving model performance.
Compensation and benefits
This is a remote, full-time or part-time position paying $40+ USD per hour with bonuses for high-quality and high-volume work, paid via PayPal.
Experience and skills
Candidates should have expert knowledge in biology or related fields, with a preferred Masters or PhD, fluency in English, attention to detail, and skills in reasoning, experimental design, and data interpretation.
Work environment and culture
The job offers flexible scheduling and remote work, allowing employees to choose projects and work on their own schedule.
Job location and travel
This is a fully remote position.
Unique job features
The position uniquely involves working directly with AI chatbot training in biology, offering flexible project choice and schedule.
Company overview
DataAnnotation is a technology company specializing in providing high-quality labeled data for machine learning and artificial intelligence applications. They generate revenue by offering data annotation services to businesses that require precise and accurate data labeling to train their AI models. Founded to address the growing need for annotated data in various industries, DataAnnotation has established itself as a reliable partner for companies looking to enhance their AI capabilities. Their services are crucial for improving the performance of AI systems in sectors such as healthcare, automotive, and e-commerce.
How to land this job
Tailor your resume to highlight your expertise in biology, including any advanced degrees or coursework in Microbiology, Cell Biology, Genetics, Physiology, Biochemistry, Molecular Biology, Biotechnology, or Environmental Science, as these are directly relevant to the Research Scientist role at DataAnnotation.
Emphasize your skills in evaluating complex biological problems, experimental design, data interpretation, and your ability to assess AI-generated outputs for accuracy and quality, reflecting the job’s core responsibilities.
Apply through multiple platforms such as DataAnnotation’s corporate website and LinkedIn to maximize your chances of being noticed for this remote, flexible role.
Connect with current employees or team members in the AI or biology divisions at DataAnnotation on LinkedIn; use ice breakers like commenting on recent AI advancements in biology or asking about the challenges of training AI models with biological data to spark meaningful conversations.
Optimize your resume for ATS systems by including keywords from the job description such as 'biology,' 'AI model evaluation,' 'experimental design,' 'data interpretation,' and 'systems-level thinking' to ensure your resume passes initial automated screenings.
Leverage Jennie Johnson’s Power Apply feature to automate the tailoring of your resume, identify the best application channels, and find relevant LinkedIn contacts, allowing you to focus more on preparing for interviews and deepening your biological expertise.
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