

Alignerr
C++ Backend Engineer - AI Data Platforms
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior C++ Full-Stack Engineer focusing on AI Data & Infrastructure, offering a remote contract of 20–40 hours/week with competitive hourly pay. Requires 5+ years in C++, strong systems programming, and experience with asynchronous network programming.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
600
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🗓️ - Date
December 18, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
San Francisco, CA
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🧠 - Skills detailed
#Scala #Databases #C++ #Data Pipeline #ML (Machine Learning) #Microservices #AI (Artificial Intelligence) #Programming #Data Quality
Role description
About The Job
Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure.
Position
Senior C++ Full-Stack Engineer — AI Data & Infrastructure
Type: Contract, Remote Commitment: 20–40 hours/week Compensation: Competitive, hourly (based on experience)
Role Responsibilities
• Design, build, and optimize high-performance systems in C++ supporting AI data pipelines and evaluation workflows
• Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control
• Improve reliability, performance, and safety across existing C++ codebases
• Collaborate with data, research, and engineering teams to support model training and evaluation workflows
• Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes
• Participate in synchronous reviews to iterate on system design and implementation decisions
Qualifications
Must-Have
• Native or fluent English speaker
• Full-stack developer experience with a strong systems programming background
• 5+ years of professional experience writing production C++.
• Strong background in asynchronous network programming using event loops or RPC frameworks for high-performance microservices.
• Experience interfacing with high-throughput databases or message queues.
• Clear written and verbal communication skills.
• Ability to commit 20–40 hours per week.
Preferred
• Prior experience with data annotation, data quality, or evaluation systems
• Familiarity with AI/ML workflows, model training, or benchmarking pipelines
• Experience with distributed systems or developer tooling
Application Process
• Submit your resume
• Complete a short technical screening
• Project matching and onboarding
About The Job
Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure.
Position
Senior C++ Full-Stack Engineer — AI Data & Infrastructure
Type: Contract, Remote Commitment: 20–40 hours/week Compensation: Competitive, hourly (based on experience)
Role Responsibilities
• Design, build, and optimize high-performance systems in C++ supporting AI data pipelines and evaluation workflows
• Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control
• Improve reliability, performance, and safety across existing C++ codebases
• Collaborate with data, research, and engineering teams to support model training and evaluation workflows
• Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes
• Participate in synchronous reviews to iterate on system design and implementation decisions
Qualifications
Must-Have
• Native or fluent English speaker
• Full-stack developer experience with a strong systems programming background
• 5+ years of professional experience writing production C++.
• Strong background in asynchronous network programming using event loops or RPC frameworks for high-performance microservices.
• Experience interfacing with high-throughput databases or message queues.
• Clear written and verbal communication skills.
• Ability to commit 20–40 hours per week.
Preferred
• Prior experience with data annotation, data quality, or evaluation systems
• Familiarity with AI/ML workflows, model training, or benchmarking pipelines
• Experience with distributed systems or developer tooling
Application Process
• Submit your resume
• Complete a short technical screening
• Project matching and onboarding






