Llm trainer

Job Description

Duration of contract : 1 month Full Time Availability (8 Hrs) and 4 hours overlap with PST time zone Any programming skills(Python OR Java Script OR Java OR C++ OR C#) Role Overview We are developing a computer usage dataset to train intelligent systems that understand how users interact with software applications. As an LLM Trainer (Computer Usage Data Collection), you will record your screen while performing detailed, multi-step computer-based tasks — such as configuring applications, exploring tools, or completing productivity workflows.

Your recordings will be annotated and used to help train models that interpret and predict user workflows, enhancing the realism and usability of AI assistants.

Requirements :

2+ years of experience with any programming languages / technical skills

Computer with 16 GB RAM or higher.

Strong ability to follow detailed written documentation and execute steps precisely.

Comfort with navigating various software applications and interfaces.

Basic technical literacy — ability to install or configure software using provided guides.

Basic coding knowledge and familiarity with environments such as Visual Studio or Py Charm are preferred.

Excellent attention to detail and consistency in recording and labeling.

Reliable computer and stable internet connection.

Commitment to confidentiality and secure data handling.

Opportunity to work on cutting-edge AI projects with leading LLM companies. What Does Day-to-Day Look Like :

Record your screen activity while completing assigned computer-based tasks.

Carefully follow step-by-step documentation to complete each task accurately.

Ensure all recordings are high-quality, complete, and free from interruptions.

Label or verify events (clicks, keypresses, actions) as instructed.

Maintain accuracy and consistency in file naming and documentation.

Adhere to strict privacy and data-handling protocols. Types of Tasks :

You will perform tasks across diverse software domains, such as :

Education & Productivity : Using learning or organizational tools.

Software & Development Environments : Setting up or configuring tools (no coding required).

Data & Analytics : Working with dashboards or monitoring interfaces.

Creativity Tools : Using design or visualization applications.

General Workflows : Everyday tasks like browsing, file management, or configuration settings. Note : The specific tools and environments will vary widely — adaptability and willingness to learn new interfaces are key.