Software Engineer
@ Taskify

Hybrid
$60,000
Hybrid
Part Time
Posted 23 days ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXXXX XXXXXXXXXXXXX XXXXXXXXXX******* @taskify.com
Recommended after applying

Job Details

About the Software Engineer Role

Taskify is hiring a Software Engineer to contribute expertise in training and refining AI systems. In this role, you will produce high-quality written data, create user-centric natural content, and evaluate AI-generated outputs through analysis, ranking, and critiques.

Key Responsibilities

  • Produce high-quality written data for AI systems.
  • Create natural content reflecting real-world use cases.
  • Evaluate, review, and rank AI-generated outputs.
  • Participate in diverse projects based on skills.

Requirements

  • Bachelor’s degree or currently enrolled in a degree program.
  • Strong English reading, writing, and evaluation skills.
  • Excellent analytical and problem-solving abilities.
  • Proficiency in crafting complex, professional prompts.
  • Attention to detail with the ability to critique AI content.

Compensation and Benefits

Earn up to $5000/month with performance-based bonus opportunities. Enjoy a flexible schedule (5–10 hours/week up to 40 hours) and work remotely from anywhere in the United States. Gain free access to the Model Playground and join a global network of AI experts.

Key skills/competency

  • AI Systems
  • Content Evaluation
  • Data Production
  • User-Centric
  • Analytical
  • Problem-solving
  • Detail-Oriented
  • Prompt Crafting
  • English Proficiency
  • Remote Work
Apply without a personalized resume

How to Get Hired at Taskify

🎯 Tips for Getting Hired

  • Research Taskify's culture: Check their mission and recent achievements.
  • Customize your resume: Highlight AI-related experience and skills.
  • Prepare for technical tests: Review AI evaluation methodologies.
  • Practice interview questions: Focus on analytical and writing scenarios.

📝 Interview Preparation Advice

Technical Preparation

Review AI data production techniques.
Practice prompt engineering.
Study content evaluation methods.
Brush up on analytical skills.

Behavioral Questions

Describe a time you managed deadlines.
Explain your approach to detail challenges.
Share experiences collaborating remotely.
Discuss handling feedback on work.

Frequently Asked Questions