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AGI ResearchChennai, IndiaFull-Time
Data Scientist — Pretraining
Own the data pipelines and curation strategies that determine what TAL models learn — the quality of training data is the quality of the model.
About This Role
The best models are built on the best data. You will own everything from web-scale data collection to quality filtering, deduplication, and domain mixing.
Responsibilities
- ▸Design and maintain large-scale data ingestion and preprocessing pipelines
- ▸Develop quality scoring, deduplication, and toxicity filtering systems
- ▸Run ablation studies on data mixture and curriculum design
- ▸Build evaluation frameworks to measure data quality impact on model capabilities
- ▸Collaborate with research scientists on dataset design for specific capabilities
Requirements
- ▸MS or PhD in Computer Science, Statistics, or related field
- ▸3+ years experience with large-scale data engineering
- ▸Expertise in Python, Spark, or similar distributed data processing tools
- ▸Familiarity with Common Crawl, C4, or similar web-scale datasets
- ▸Strong understanding of tokenisation and language data characteristics
Nice to Have
- ▸Experience with multilingual or code data pipelines
- ▸Background in information retrieval or corpus linguistics
- ▸Familiarity with data provenance and copyright compliance at scale
TAL Corp is an equal opportunity employer. We believe the best team reflects the full diversity of humanity — because we are building for all of it.
Apply Through Training
At TAL Corp you don't just send a résumé — you prove yourself. Apply by joining our training program; complete it, and top performers are hired into this role.
- 1Register & start your 7-day program
- 2Train, build real skills, earn a credential
- 3Top performers → straight into hiring
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