AI training contract
Big Data Engineer
Data & Analytics · USD 30-80 an hour. · 50 openings
Big Data Engineer is contract work for micro1, reviewing and correcting what AI models produce in data & analytics. The output of the job is expert judgement written down: a model gives an answer, someone who knows the subject decides whether it is right and explains why.
What it requires. No credential is stated on this listing beyond experience in the field.
What it pays. USD 30 to USD 80 an hour, as published by micro1. Rates in this category track how rare the credential is rather than how hard the work is.
Where. The listing says this role is remote and names no country. micro1 says it hires talent from around the world, except people who reside in Afghanistan, Belarus, China, Cuba, Democratic Republic of the Congo, Hong Kong, Iran, Iraq, Libya, Macao, Myanmar, North Korea, Russian Federation, Somalia, South Sudan, Sudan, Syria, Venezuela, Ukraine, and Yemen. So this page lists every other country as eligible, on the strength of that rule and not of anything this listing says. Requirements can still differ by role, so check the application page on micro1 before you apply.
micro1 lists 50 openings on this role.
Skills named: big data, Python, databases, data engineering.
Applications are made on micro1, not here. WFA Digital is independent of micro1 and may receive a referral fee if you are hired, at no cost to you.
Full listing, as published by micro1
Job Title: Big Data Engineer Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. Key Responsibilities: Design, build, and maintain scalable big data pipelines and architectures to support robust data solutions. Collaborate with cross-functional teams to understand and deliver on data requirements and business objectives. Implement data integration, transformation, and processing solutions using Python and relevant big data technologies. Develop, manage, and optimize distributed databases and storage systems for efficiency and reliability. Monitor, troubleshoot, and enhance data systems to ensure high availability and performance. Enforce data quality, security, and governance standards across all solutions. Document solutions and communicate complex technical concepts effectively, both in writing and verbally. Required Skills and Qualifications: Proven expertise in big data engineering with hands-on experience building and maintaining large-scale data pipelines. Advanced proficiency in Python for data processing, automation, and integration. Deep understanding of relational and NoSQL databases, including optimization and management techniques. Experience with distributed data processing frameworks (e.g., Hadoop, Spark, Flink). Strong foundation in data modeling, ETL processes, and data warehousing principles. Excellent written and verbal communication skills, with the ability to convey technical ideas clearly to both technical and non-technical stakeholders. Detail-oriented, proactive, and self-motivated, thriving in remote and autonomous work environments. Preferred Qualifications: Prior experience in fast-paced or startup-like environments supporting global teams. Expertise with cloud-based big data platforms (e.g., AWS, GCP, Azure). Familiarity with machine learning operations and data science workflows is a plus.
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Rate, openings and requirements checked 2026-09-25 against micro1's own public postings.