Job summary
Job post source
This job is directly from DataAnnotation
Job overview
The Data Analyst role at DataAnnotation involves training AI chatbots to code and measuring their progress, contributing to AI quality improvement.
Responsibilities and impact
The analyst will create diverse coding problems and solutions for chatbots, write high-quality code snippets, and evaluate AI-generated code for correctness and performance.
Compensation and benefits
The position is remote, paid hourly starting at $40+ with bonuses for quality and volume, and payment is via PayPal; it offers flexible scheduling and project choice.
Experience and skills
Candidates need fluency in English, excellent writing skills, a bachelor's degree (completed or in progress), and prior experience in software development or programming.
Work environment and culture
The company supports remote work with flexible schedules and values high-quality, diverse problem-solving for AI training.
Company information
DataAnnotation focuses on creating quality AI by training chatbots and offers remote work opportunities.
Job location and travel
This is a fully remote position available to candidates in the US, UK, Canada, Australia, or New Zealand.
Unique job features
The job uniquely allows working on chosen projects with flexible hours and pays bonuses for high-quality and high-volume work.
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 emphasize your experience with coding, software development, and evaluating code quality, as these are core to the Data Analyst role at DataAnnotation focused on training AI chatbots to code.
Highlight your proficiency in English writing and grammar skills, along with your ability to create diverse coding problems and solutions, which are key responsibilities mentioned in the job description.
Apply through multiple platforms including DataAnnotation's official corporate site and LinkedIn to maximize your chances of being noticed for this remote, flexible position.
Connect with current employees or team members in the engineering or AI training divisions of DataAnnotation on LinkedIn; a good ice breaker could be commenting on their recent AI projects or asking about their experience working remotely with flexible schedules.
Optimize your resume for ATS by incorporating keywords such as 'code evaluation,' 'AI chatbot training,' 'software development,' 'coding problems,' and 'remote work flexibility' to ensure your application passes initial automated screenings.
Utilize Jennie Johnson's Power Apply feature to automate applying through various channels, tailor your resume with relevant keywords, and identify LinkedIn contacts to network with, allowing you to focus more on preparing for interviews and enhancing your skills.
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