AI-Powered Technical Writing Intern

Sigma Computing; New York (NY); Sur place; USD 50 000 - 58 000; Plein temps

Avantages offerts par ce poste

Relocation bonus

Hourly pay

Résumé du poste

Sigma Computing is offering an Early Career Program Internship as a Technical Writing Intern in San Francisco, CA or New York, NY. You’ll test and document new product features, collaborate with engineers, product managers, and writers, and carry a significant documentation project from ideation to implementation.

You will write clear documentation, analyze customer metrics, and contribute to a docs-as-code workflow with AI tools.

Qualifications

• Pursuing at least a Bachelor's or a Master's degree in Computer Science or a related field.
• Exceptional written and spoken communication skills.
• Willingness to learn daily and translate complex topics into actionable user assistance.
• Ability to work in a team and manage tasks with minimal supervision.
• Able to commit 40 hrs a week for 12 weeks in-person in San Francisco, CA or New York, NY office

Responsabilités

• Write clear and accurate documentation enabling Sigma customers to use the product effectively.
• Deploy documentation and analyze customer metrics to improve decision-making and collaboration.
• Work with developers, designers, and product managers to understand features at a SME level.
• Draft, review, and publish content in a docs-as-code workflow with AI tooling.
• Improve existing documentation based on feedback and address knowledge gaps.

Connaissances

Communication

Project management

Collaboration

Written communication

Formation

CS degree (Bachelor's or Master's)

Description du poste

Sigma Computing is offering an Early Career Program Internship as a Technical Writing Intern in San Francisco, CA or New York, NY. You’ll test and document new product features, collaborate with engineers, product managers, and writers, and carry a significant documentation project from ideation to implementation.

You will write clear documentation, analyze customer metrics, and contribute to a docs-as-code workflow with AI tools.