Scala Engineer

AI Trainer Jobs; United States; Remote; USD 80,000 - 113,000; Full time

Job summary

AI Trainer Jobs is seeking a highly skilled Scala Engineer for a fully remote, hourly contractor role. You will review AI-generated Scala code, designs, and explanations, producing high-quality reference implementations and step-by-step solutions for complex engineering problems.

Ideal candidates have 4+ years in Scala, strong JVM knowledge, and experience with concurrency and distributed systems. This role offers flexible, remote work and a pipeline for future opportunities within SME Careers

Qualifications

• Bachelor's degree in CS, Software Engineering or equivalent practical experience.
• 4+ years building production systems using Scala.
• Expert-level proficiency in Scala 2.13+ and/or Scala 3.
• Strong JVM fundamentals and performance tuning.
• Experience with concurrency and effect systems (cats-effect, ZIO) and/or Akka/Pekko.
• Distributed services design & operation (microservices, messaging, backpressure).
• Strong testing practices (ScalaTest, MUnit, ScalaCheck) and CI/CD familiarity.
• Build tooling and version control (SBT, Maven/Gradle, Git).
• Proficient English writing and communication (C1).
• Experience with AI data training is a plus.

Responsibilities

• Develop AI training content: create prompts and reference answers for Scala/JVM topics.
• Evaluate and rank AI responses to improve correctness, safety, and performance.
• Test AI outputs for inaccuracies, unsafe patterns, and bias; validate real-world reliability.

Skills

Scala

JVM

Concurrency

Cats-effect

ZIO

Akka

Distributed systems

Testing (ScalaTest)

CI/CD

SBT

English (C1)

Education

Bachelor's degree in CS/Software Engineering

Equivalent practical experience

Tools

SBT

Maven/Gradle

Git

Job description

Pay: up to $70/hour

As a Scala Engineer, you will work remotely on an hourly paid basis to review AI-generated Scala code, system designs, and technical explanations, as well as produce high-quality reference implementations and step-by-step reasoning for complex engineering problems. You will assess solutions for correctness, clarity, safety, performance, and adherence to the prompt; identify errors in concurrency, distributed systems behavior, JVM performance, functional correctness, and resource handling; fact-check technical information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality.

This fully remote, hourly paid contractor role is with SME Careers, a fast-growing AI data services company and subsidiary of SuperAnnotate that provides AI training data to many of the world’s largest AI companies and foundation model labs—where your Scala and systems expertise will directly help improve the world’s premier AI models used by millions of developers worldwide.

Important:

There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.

Responsibilities

• Develop AI Training Content: Create detailed prompts across Scala/JVM topics and write high-quality reference answers to guide AI learning.
• Optimize AI Performance: Evaluate and rank AI responses to improve correctness, safety, performance, and contextual relevance.
• Ensure Model Integrity: Test AI outputs for inaccuracies, unsafe patterns, and bias; validate reliability across real-world use cases.

Requirements

• Bachelor's degree or higher in Computer Science, Software Engineering, or a closely related technical field (or equivalent practical experience).
• 4+ years of professional experience building production systems using Scala (backend services, data platforms, or distributed systems).
• Expert-level proficiency in Scala 2.13+ and/or Scala 3, including strong understanding of the type system, implicits/givens, collections, and functional patterns.
• Strong JVM fundamentals: memory model, garbage collection, profiling, performance tuning, and troubleshooting production issues.
• Deep experience with concurrency and effect systems (e.g., cats-effect, ZIO) and/or actor-based systems (Akka/Pekko).
• Experience designing and operating services in distributed environments: microservices, messaging/streaming, retries, idempotency, backpressure, consistency tradeoffs.
• Strong testing practices (ScalaTest, MUnit, property-based testing like ScalaCheck) and comfort with CI/CD workflows.
• Comfortable with build tooling and dependency management (sbt, Maven/Gradle interop), and version control best practices.
• Minimum C1 English proficiency (written and spoken), with the ability to write clear technical explanations and follow detailed English-language guidelines.
• Prior experience with AI data training, annotation, or evaluating AI-generated technical content is a strong plus.
• Highly detail-oriented and systematic, with a methodical approach to evaluating reasoning quality and identifying subtle issues in Scala/JVM systems.

Skills: Microservices, English (C1+), Code review, Debugging & Profiling, Spark (Data Processing), Performance Optimization, Remote Contractor, Scala, Functional Programming, Akka/Pekko (Concurrency & Actors), JVM

Open to candidates in: Bangladesh, Bhutan, Brazil, Cambodia, Germany, India, Indonesia, Malaysia, Nepal, Pakistan, Singapore, Sri Lanka, Thailand, The Philippines, The United States, Timor Leste, Vietnam

Interview language: English