# Jr. AI Engineer

**Company:** [Teleskope](https://hotfix.jobs/companies/teleskope)
**Location:** New York, NY
**Role:** Data Engineering
**Salary:** $75k – $90k/yr
**Experience:** 0+ years
**Skills:** Python, SQL, data annotation, quality control, Agentic Workflows, data wrangling, label studio, prodigy, NLP, Machine Learning
**Posted:** 2026-07-20

> Jr. AI Engineer responsible for hands-on data annotation, quality control, and process automation using Python, SQL, and agentic tools to improve ML model performance on messy classification data. Recent grads with programming skills and a quality-first mindset encouraged to apply for this hybrid NYC role.

## Job Description

## What You'll Do
- Perform hands-on data annotation and quality control (labeling, reviewing, and correcting classification outputs) as a core member of the data science pipeline.
- Improve and scale the annotation process: identify bottlenecks, repetitive steps, and error sources, then fix them using Python, SQL, and agentic workflows.
- Build and run quality control checks to catch labeling errors, measure inter-annotator agreement, and identify systematic issues before production.
- Collaborate closely with data scientists and ML engineers to connect real-world performance to model improvements.
- Context switch across labeling, quality analysis, scripting, and process work as priorities evolve.
- Document QC processes and annotation guidelines to support team scaling and onboarding.

## Requirements
- Solid programming ability with hands-on Python experience.
- Willingness to work with scripts, SQL, and data wrangling.
- Comfortable using or quickly ramping up on agentic development tools.
- Quality-first mindset with attention to detail in data.
- Dependable, adaptable, and able to context switch as priorities change.
- Energized by messy, real-world data and working with data-minded teammates.
- Self-directed and eager to grow in a fast-paced environment.

## Nice-to-Haves
- Familiarity with feedback loops in ML systems and label quality's impact on model performance.
- Experience with annotation platforms (Label Studio, Prodigy, Scale, or custom systems).
- Knowledge of active learning or online learning approaches.
- Experience with SQL and building lightweight dashboards for quality metrics.
- Background in NLP or text classification workflows.

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**Apply:** https://hotfix.jobs/jobs/a5584151-d3a6-4a96-8663-6b4360d77cc1
**Canonical:** https://hotfix.jobs/jobs/a5584151-d3a6-4a96-8663-6b4360d77cc1