Want to get hired at Call For Referral?
AI Engineer Remote Part-Time
Call For Referral
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Original Job Summary
Role Overview
Call For Referral is seeking an AI Engineer Remote Part-Time. This role involves working on advanced AI infrastructure initiatives by building scalable APIs, designing robust database architectures, and developing high-performance systems to support next-generation machine learning applications.
Qualifications
- Proven experience integrating coding agents into engineering workflows
- Minimum 3 years of engineering experience at top-tier organizations
- Degree in Computer Science or equivalent from a leading institution
- Expertise in API development: creation, testing, integration
- Strong command of SQL and database design
- Excellent analytical, detail orientation, and communication skills
Engagement Details
Schedule: Fully remote and asynchronousWorkload: Flexible, 10–40 hrs/week based on availability and performanceDuration: 1–2 months with potential for extensionStart Date: Immediate / September
Compensation & Contract
Hourly rate between $70 and $110 USD per hour based on experienceIndependent contractor arrangementWeekly payouts
Key skills/competency
- AI
- API Development
- Coding Agents
- Database Architecture
- SQL
- Machine Learning
- Scalability
- Software Engineering
- Analytical Skills
- Remote Work
How to Get Hired at Call For Referral
🎯 Tips for Getting Hired
- Research Call For Referral's culture: Explore company values and achievements online.
- Tailor your resume: Emphasize API, SQL, and agent integration experience.
- Highlight remote work: Detail prior asynchronous work experiences.
- Prepare for technical questions: Focus on system architecture and database design.
📝 Interview Preparation Advice
Technical Preparation
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Review robust API development best practices.
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Practice SQL optimization and query handling.
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Study scalable database design strategies.
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Familiarize with coding agents integration techniques.
Behavioral Questions
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Describe your remote collaboration experiences.
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Explain handling asynchronous work challenges.
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Share examples of problem-solving under pressure.
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Discuss how you manage project time effectively.