Senior Software Engineer

About Company :

Our client is a Palo Alto–based AI infrastructure and talent platform founded in 2018. It helps companies connect with remote software developers using AI-powered vetting and matching technology. Originally branded as the “Intelligent Talent Cloud,”enabled companies to “spin up their engineering dream team in the cloud” by sourcing and managing vetted global talent.

In recent years, they have evolved to support AI infrastructure and AGI workflows, offering services in model training, fine-tuning, and deployment—powered by their internal AI platform, ALAN, and backed by a vast talent network. They reported $300 million in revenue and reached profitability. Their growth is driven by demand for annotated training data from AI labs, including major clients like OpenAI, Google, Anthropic, and Meta.

Job Description :

Job Title : OSWorld SFT

Location : Pan India

Experience : 4+ yrs.

Employment Type : Contract to hire

Work Mode : Remote

Notice Period : - Immediate joiners

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.

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 :

Note : The specific tools and environments will vary widely — adaptability and willingness to learn new interfaces are key.

Requirements :