Engineer (All Domains)

Cashback24x7; India; Remote; INR 1,102,000 - 1,929,000; Part time

Job summary

Cashback24x7 is seeking an Engineer (All Domains) on a contractor basis to help train next-generation AI systems. You will analyze real-world communications from startup environments and design multi-step workflows that reflect practical knowledge work.

The role emphasizes clarity, context, and confidentiality as you transform fragmented inputs into structured tasks and prompts for AI evaluation. Strong communication and ability to identify blockers, dependencies, and unresolved questions are

Qualifications

• Exceptional written and verbal communication skills.
• Ability to interpret unstructured, messy workplace communications and documents.
• Synthesize information across conversations, files, and evolving business situations.
• Experience transforming fragmented inputs into structured, multi-step tasks or workflows.
• Identify blockers, dependencies, and unresolved questions in complex environments.
• Strong judgment distinguishing key context from noise in fast-paced settings.
• Meticulous approach to data privacy and confidentiality.

Responsibilities

• Analyze and interpret authentic Slack conversations, email threads, and internal files from real startup environments.
• Trace workplace decisions, identify action items, dependencies, blockers, and unresolved issues across distributed communications.
• Synthesize fragmented information from multiple sources and timelines to create complex, realistic tasks for AI agent evaluation.
• Develop multi-step workflows that mirror real-world knowledge work scenarios and evolving business contexts.
• Write clear, context-rich prompts and evaluation rubrics grounded in authentic workplace data.
• Resolve ambiguities, connect context, and distinguish between relevant and irrelevant information with accuracy.
• Uphold strict confidentiality standards when handling genuine, sensitive workplace materials.

Skills

Communication

Unstructured data interpretation

Synthesis across sources

Workflow design

Blockers & dependencies

Data privacy

Judgment under noise

Job description

Job Title: Engineer (All Domains)

Job Type: Contractor

Location: Remote

Job Summary: As a Engineer (All Domains), you\'ll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Key Responsibilities

• Analyze and interpret authentic Slack conversations, email threads, and internal files from real startup environments.
• Trace workplace decisions, identify action items, dependencies, blockers, and unresolved issues across distributed communications.
• Synthesize fragmented information from multiple sources and timelines to create complex, realistic tasks for AI agent evaluation.
• Develop multi-step workflows that mirror real-world knowledge work scenarios and evolving business contexts.
• Write clear, context-rich prompts and evaluation rubrics grounded in authentic workplace data.
• Resolve ambiguities, connect context, and distinguish between relevant and irrelevant information with accuracy.
• Uphold strict confidentiality standards when handling genuine, sensitive workplace materials.

Required Skills and Qualifications

• Exceptional written and verbal communication skills, with an eye for clarity and context.
• Demonstrated experience interpreting unstructured, messy workplace communications and documents.
• Ability to connect and synthesize information across conversations, files, and evolving business situations.
• Experience transforming fragmented inputs into structured, multi-step tasks or workflows.
• Proven skill in identifying blockers, dependencies, and unresolved questions in complex environments.
• Strong judgment distinguishing key context from noise in fast-paced settings.
• Meticulous approach to data privacy and confidentiality.

Preferred Qualifications

• Background in operations, project management, startup leadership, account management, or similar roles.
• Generalist with hands-on experience in fast-paced, high-growth business or startup environments.
• Prior exposure to process mapping or knowledge management is a plus.