Software Engineer / AI Data Trainer (20-40 h/w commitment)
Software Engineers, for the following languages, are needed for AI Model Training:
German (Germany/Austria/Switzerland)
Italian (Italy/Switzerland)
We seek an AI Data Trainer with an educational background in Software Engineering. This pivotal role is designed for a software engineer with the capability and enthusiasm to integrate engineering knowledge into the development of cutting-edge AI models.
The Role
Develop Training Content: Create detailed prompts and responses in your languages to guide AI learning, ensuring the models reflect expertise in software engineering.
Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy in software engineering contexts.
Ensure Model Integrity: Diligently test AI models for potential inaccuracies or biases, validating their applicability to the engineering domain.
Review the quality of the LLM Data Training project items, generated by other Engineers, including but not limited to reviewing the code... quality, optimizing, or general responses about engineering processes and procedures.
SDG prompts and solution to prompts (in native language)
Your Profile
We are looking for a professional who exhibits:
Education background in Software Engineering, Computer Science, Data Science and similar programs.
Experience in Web development is a plus for Trainers and a must have for Code Reviewers: JSON, Markdown, Tables, Lists experience.
Language Mastery: Depending on which role you are applying for and minimum B2 level of English proficiency.
Technological Fluency: Comfort with AI technology and enthusiasm for its potential in coding.
Attention to Detail: Commitment to precision and thoroughness in the training process.
About SuperAnnotate
SuperAnnotate is the leading platform for building, fine-tuning, iterating, and managing AI models more efficiently with high-quality training data. We empower enterprises with advanced annotation and QA tools, data curation, automation features, language integrations, and data governance to create datasets and successful ML pipelines.
SuperAnnotate was recognized as one of the world's top 100 AI companies in 2021 by CB Insights.
Why Join Us?
Innovative Environment: Be part of a company recognized as a top AI innovator.
Impactful Work: Contribute to global AI advancements and thought leadership.
Growth Opportunity: A rare chance for career transitioners or those seeking an exciting new challenge.
Remote Flexibility: Enjoy the freedom of a fully remote position with flexible hours.
Competitive Compensation: Project-based pay (Data Trainer/ Code Reviewer) ranging from 18$-60$ per hour, reflecting the significance of your role.
Compensation and Contract Details
The volume of the work will be based on your minimum weekly hourly commitment.
SuperAnnotate currently does not sponsor visas and the role were offering is of a temporary nature, based on available projects, hence we are unable to accommodate the work authorization requirements associated with CPT or OPT in the USA
Apply Now
German (Germany/Austria/Switzerland)
Italian (Italy/Switzerland)
We seek an AI Data Trainer with an educational background in Software Engineering. This pivotal role is designed for a software engineer with the capability and enthusiasm to integrate engineering knowledge into the development of cutting-edge AI models.
The Role
Develop Training Content: Create detailed prompts and responses in your languages to guide AI learning, ensuring the models reflect expertise in software engineering.
Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy in software engineering contexts.
Ensure Model Integrity: Diligently test AI models for potential inaccuracies or biases, validating their applicability to the engineering domain.
Review the quality of the LLM Data Training project items, generated by other Engineers, including but not limited to reviewing the code... quality, optimizing, or general responses about engineering processes and procedures.
SDG prompts and solution to prompts (in native language)
Your Profile
We are looking for a professional who exhibits:
Education background in Software Engineering, Computer Science, Data Science and similar programs.
Experience in Web development is a plus for Trainers and a must have for Code Reviewers: JSON, Markdown, Tables, Lists experience.
Language Mastery: Depending on which role you are applying for and minimum B2 level of English proficiency.
Technological Fluency: Comfort with AI technology and enthusiasm for its potential in coding.
Attention to Detail: Commitment to precision and thoroughness in the training process.
About SuperAnnotate
SuperAnnotate is the leading platform for building, fine-tuning, iterating, and managing AI models more efficiently with high-quality training data. We empower enterprises with advanced annotation and QA tools, data curation, automation features, language integrations, and data governance to create datasets and successful ML pipelines.
SuperAnnotate was recognized as one of the world's top 100 AI companies in 2021 by CB Insights.
Why Join Us?
Innovative Environment: Be part of a company recognized as a top AI innovator.
Impactful Work: Contribute to global AI advancements and thought leadership.
Growth Opportunity: A rare chance for career transitioners or those seeking an exciting new challenge.
Remote Flexibility: Enjoy the freedom of a fully remote position with flexible hours.
Competitive Compensation: Project-based pay (Data Trainer/ Code Reviewer) ranging from 18$-60$ per hour, reflecting the significance of your role.
Compensation and Contract Details
The volume of the work will be based on your minimum weekly hourly commitment.
SuperAnnotate currently does not sponsor visas and the role were offering is of a temporary nature, based on available projects, hence we are unable to accommodate the work authorization requirements associated with CPT or OPT in the USA
Apply Now