Remote C# AI Training Specialist

Rise Data Labs; United States; Remote; USD 60,000 - 90,000; Full time

Benefits offered by this job

Competitive compensation

Career development opportunities

Access to cutting-edge AI tools

Job summary

Rise Data Labs is a remote-friendly AI training and data annotation company based in the United States, seeking a C# AI Training Specialist to enhance AI models through precise data labeling. You will apply C# expertise to ensure data accuracy and contribute domain insights to refine model performance.

This remote-first role welcomes experts worldwide, offering competitive compensation, ongoing career development, and access to cutting-edge AI tools as you collaborate with cross-functional teams.

Qualifications

• Proficient in C# with strong coding skills.
• Solid understanding of AI concepts and ML fundamentals.
• Detail-oriented with a commitment to quality in data handling.
• Strong analytical and problem-solving abilities.
• Ability to work independently and within a team.

Responsibilities

• Train and improve AI models through precise data annotation and labeling.
• Review and validate AI-generated content for accuracy and relevance.
• Provide domain expertise to enhance model performance across projects.
• Collaborate with cross-functional teams to deliver high-quality data.
• Stay updated on AI developments and C# technologies.

Skills

C# programming

AI concepts

Attention to detail

Analytical problem-solving

Independent and team work

Tools

AI training frameworks

Data annotation platforms

Job description

Rise Data Labs is a remote-friendly AI training and data annotation company based in the United States, seeking a C# AI Training Specialist to enhance AI models through precise data labeling. You will apply C# expertise to ensure data accuracy and contribute domain insights to refine model performance.

This remote-first role welcomes experts worldwide, offering competitive compensation, ongoing career development, and access to cutting-edge AI tools as you collaborate with cross-functional teams.