Big Data Engineer for AI Training

OpenTrain AI; Northern (KY); Hybrid; USD 31,000 - 83,000; Part time

Job summary

OpenTrain AI is seeking a Big Data Engineer for a remote, part-time contractor role offering 20+ hours per week. The position focuses on building scalable data pipelines and distributed architectures to support AI training inputs.

You will work with Python, SQL and NoSQL databases, optimize data storage, and ensure governance and documentation standards are followed. This is an entry-friendly contract with modern remote collaboration tools and flexible scheduling.

Qualifications

• Hands-on experience building and maintaining large-scale data pipelines.
• Advanced Python proficiency for data processing, automation, and integration.
• Strong knowledge of relational and NoSQL databases, including optimization and management.
• Experience with Hadoop, Spark, or Flink for distributed processing.
• Knowledge of data modeling, ETL processes, and data warehousing.
• Excellent written and verbal communication skills.
• Detail-oriented and self-directed working style.

Responsibilities

• Design, build, and maintain large-scale big data pipelines and architectures.
• Implement data integration, transformation, and processing solutions with Python and distributed data technologies.
• Develop, manage, and optimize relational, NoSQL, and distributed database and storage systems.
• Monitor system performance, troubleshoot issues, and improve availability, efficiency, and reliability.
• Apply data quality, security, and governance standards across data solutions.
• Document technical implementations clearly.
• Communicate complex technical concepts to technical and non-technical stakeholders.

Skills

Large-scale data pipelines

Python for data processing

Relational & NoSQL databases

Distributed processing frameworks

Data modeling & ETL

Communication skills

Detail-oriented & self-directed

Job description

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role and the #1 platform for finding and building careers in AI training and data labeling. Create a free profile to showcase your technical experience, discover relevant opportunities, and apply in minutes.

• Remote contractor opportunity
• Part-time engagement requiring 20+ hours per week
• English-language work
• Advertised rate of $30-$80 per hour

About AI Training Engineering

AI training depends on reliable, well-structured data. Engineers help create the pipelines, storage systems, processing architectures, and quality controls that prepare high-quality inputs for modern AI systems.

This work connects software engineering and data infrastructure with a fast-growing industry. Contributors support cutting-edge AI development while working remotely and building experience in a flexible technical environment.

The Big Data Engineer Role

OpenTrain AI is recruiting a Big Data Engineer to build and maintain scalable pipelines, distributed data systems, and processing architectures that support next-generation AI systems. The role combines hands-on Python engineering with data integration, database optimization, system reliability, and clear technical communication.

This is an entry-level contractor opportunity with substantial technical requirements. The engagement is remote, part-time, and open to applicants in the eligible countries listed for the project.

• Contractor and part-time engagement
• 20+ hours per week
• Remote work
• Rate of $30-$80 per hour

What You'll Do

You will design and operate data infrastructure that supports reliable AI training inputs. The work includes building systems, improving performance, applying governance standards, and explaining technical decisions to different audiences.

• Design, build, and maintain large-scale big data pipelines and architectures
• Implement data integration, transformation, and processing solutions with Python and distributed data technologies
• Develop, manage, and optimize relational, NoSQL, and distributed database and storage systems
• Monitor system performance, troubleshoot issues, and improve availability, efficiency, and reliability
• Apply data quality, security, and governance standards across data solutions
• Document technical implementations clearly
• Communicate complex technical concepts to technical and non-technical stakeholders

Required Qualifications

Applicants should be comfortable working independently, paying close attention to detail, and communicating clearly in writing and conversation. Your background should demonstrate practical experience with large-scale data infrastructure and processing.

• Hands-on experience building and maintaining large-scale data pipelines
• Advanced Python proficiency for data processing, automation, and integration
• Strong knowledge of relational and NoSQL databases, including optimization and management
• Experience with distributed processing frameworks such as Hadoop, Spark, or Flink
• Knowledge of data modeling, ETL processes, and data warehousing
• Excellent written and verbal communication skills
• Detail-oriented and self-directed working style

Helpful Background

The following experience is helpful but is not listed as required. It may strengthen your fit for the role and its technical environment.

• Experience supporting global teams in fast-moving or startup-like environments
• Familiarity with AWS, GCP, or Azure big data platforms
• Familiarity with machine learning operations workflows
• Familiarity with data science workflows

Why Build Your AI Career With OpenTrain

AI training and data-labeling work is the human side of building artificial intelligence. OpenTrain helps you develop a durable professional profile around this work, making it easier to present your experience, find opportunities that match your skills, and grow a long-term portfolio in a rapidly developing field.

By contributing your engineering expertise to AI infrastructure, you can help shape how advanced systems are built while working remotely with a flexible schedule.

• Build a track record in a growing AI industry
• Showcase your technical experience in one professional profile
• Discover opportunities aligned with data engineering and software skills
• Work remotely with a part-time schedule