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Job Description

Content Editing Intern — Quant AI Trading Lab

Quant-Astra Pvt Limited · Kota, Rajasthan · Internship · On-site / Hybrid

About Us

Quant AI Trading Lab is an algorithmic and quantitative trading education brand under Quant-Astra Pvt Limited.

We help traders — from beginners to experienced professionals — backtest, validate, and deploy systematic trading strategies.

Our content reaches thousands across LinkedIn, Instagram, and other platforms.

And we don't put out content casually — every word, every post, every carousel is intentional.

The Role

We're scaling content fast — LinkedIn posts, Instagram carousels, course material, email copy, and more.

We're looking for someone who can clean, refine, and elevate everything before it goes live.

This is not passive proofreading.

You'll actively shape how we communicate — spotting what's weak, fixing what's unclear, and tightening everything.

What You'll Do
  • Edit and refine LinkedIn posts, Instagram captions, and carousel content
  • Proofread course material, session notes, and educational content
  • Improve headlines, hooks, and CTAs where needed
  • Ensure clarity, precision, and readability across all content
  • Maintain a consistent brand voice — direct, sharp, and jargon-free
  • Coordinate on content planning and calendar management
  • Repurpose long-form content into shorter formats (posts → captions → messages)
  • Flag inconsistencies in tone, messaging, or factual accuracy
Who We're Looking For
  • Strong command of written English — you catch what others miss
  • Interest in finance, trading, or the creator ecosystem
  • Comfortable working with fast turnaround timelines
  • Proactive mindset — you don't wait to be told something is off
  • Detail-oriented and structured

Bonus:

  • Familiarity with LinkedIn/Instagram content formats
  • Basic experience with tools like Canva
Eligibility

Open to all streams — graduation ongoing or completed.

Your ability matters more than your degree.

What You'll Get
  • Real-world experience working on high-impact content
  • Exposure to algo trading, quant finance, and digital education
  • Direct mentorship and fast feedback loops
  • Performance-based stipend
  • Flexible work structure — output > hours
How to Apply

Send:

  • Your CV at [Confidential Information]
  • One sample edit (before vs after — show how you improved it)

Also include a short note (2–3 lines):

Why are you a good fit for this role

Quant-Astra Pvt Limited · Quant AI Trading Lab

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