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Karya

Ethical data labeling for rural workers

Data Engineer

Data AnalysisConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • Experience with PostgreSQL, including joins, aggregates, and JSON fields.
  • Experience writing scripts in Python, Bash, or TypeScript and checking them into git.
  • Ability to read a TypeScript codebase and a relational schema.
  • Ability to use Linux for running jobs, including SSH, logs, long-running processes, and disk.
  • Ability to write technical updates that clearly explain the situation to non-technical teammates.
  • Experience running queries or scripts against real project or production data.

Responsibilities

  • Run and monitor data jobs on remote Linux servers, and recover failed jobs from logs and process state.
  • Configure project workflows, including handoff from automated processing to human tasks, and track what is in progress, held, or ready to deliver.
  • Write PostgreSQL and ClickHouse queries for throughput, completion, quality, pay, and delivery status.
  • Apply completion and quality rules to access, pay, and delivery decisions after a sample check.
  • Write Python, SQL, or Bash scripts for checks and decisions, and keep them in the repository.
  • Package datasets to client specifications, move them through cloud object storage, and record what has shipped.
  • Read the TypeScript / Node.js codebase to follow tasks, assignments, payments, and file storage.
  • Reply to Operations and client teams with the finding, the change made, and what is still open.
  • Report repeated manual work to platform engineering, with an example.

Desired Qualifications

  • Experience with cloud object storage such as Google Cloud Storage, S3, or Azure Blob.
  • Experience with collected datasets such as speech, text, or images.
  • Experience with ClickHouse, Metabase, or a similar reporting tool.

About the Company

Karya

Ethical data labeling for rural workers

Karya provides ethical data work in rural India by collecting and labeling data for major tech companies. It converts large AI data projects into microtasks via a mobile-first platform accessible offline, designed for workers with limited literacy. Workers from marginalized communities earn wages well above local minimums and receive royalties when datasets are resold, with recruitment through NGOs to ensure diverse participation. The company focuses on high-quality datasets for low-resource Indic languages, aiming to uplift livelihoods and ensure a fair share of AI value goes to data workers.

Company size
201-500
Company stage
Grant
Total funding
$1M
Headquarters
Mumbai, India
Founded
2021

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