Data Jobs in Albuquerque, NM

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Data Analyst - AI Trainer

DataAnnotation Albuquerque, NM 🇺🇸 Remote

Albuquerque, NM

Today

$50 - $100/hr Full time Ai Ml Ai Trainer Analyst

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Job Description

Benefits

Fully remote work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule to choose projects and determine when you work.
Competitive hourly pay up to $100 per hour, with opportunities for higher rates based on performance.
Meaningful impact on the development of AI technologies through problem design and evaluation.

Location: Albuquerque, NM (remote). Compensation: USD 50 - 100 per hour. Education: Bachelor's degree (completed or in progress).

The DataAnnotation Data Analyst - AI Trainer role offers remote collaboration with flexible scheduling to design and solve coding problems used for AI training, write clear, high-quality code with explanations, and evaluate AI-generated code for accuracy and clarity.

Responsibilities

Design and solve a variety of coding problems used to train AI systems.
Write concise, high-quality code snippets accompanied by thorough explanations.
Evaluate AI-generated code for correctness, performance, and readability.
Offer feedback that informs the next generation of AI model development.

Requirements

Fluent English communication skills (native or bilingual level).
Proficiency in at least one of these languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift.
Strong writing and grammar abilities.
A bachelor’s degree (completed or in progress).
Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred.

Technologies

JavaScript
TypeScript
Python
C
C#
C++
React
Go
Java
Kotlin
Swift

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects you take on and when you work.
Competitive pay: hourly projects up to $100+ USD per hour, with potential for higher rates for strong performance.
Impact: contribute to shaping the future of AI technologies.

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