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AppenApplied AI Research Engineer
Appen is currently looking for an Applied AI Research Engineer to work remotely on a full-time basis. In this role, the professional will create practical artificial…
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About This Role
Appen is currently looking for an Applied AI Research Engineer to work remotely on a full-time basis. In this role, the professional will create practical artificial intelligence research assets tailored for Frontier lab initiatives and client projects. The successful candidate will focus on execution, transforming academic concepts into functional operational systems while operating with significant independence. This position involves designing reinforcement learning spaces, constructing agentic setups, and establishing testing frameworks…
Job Description
Appen is currently looking for an Applied AI Research Engineer to work remotely on a full-time basis. In this role, the professional will create practical artificial intelligence research assets tailored for Frontier lab initiatives and client projects. The successful candidate will focus on execution, transforming academic concepts into functional operational systems while operating with significant independence.
This position involves designing reinforcement learning spaces, constructing agentic setups, and establishing testing frameworks to measure model performance, reliability, and expenses. The person in this role will execute model tuning experiments, launch self-hosted systems, and maintain clear records so peers can replicate findings. Collaboration with the GenAI Research unit and other departments is a key component to generate reusable deliverables for client deployments.
Appen brings more than three decades of experience as a prominent provider in artificial intelligence training data. The organization focuses on human-created information to train, adjust, and assess models spanning generative AI, computer vision, audio recognition, and large language models. Supported by a global crowd of over one million contributors across more than 200 countries, the firm delivers solutions for pre-training, supervised fine-tuning, safety audits, and worldwide expansion. The company maintains a workplace culture centered on teamwork, accountability, continuous learning, and innovation.
Responsibilities
- Design reinforcement learning and agent spaces for client and lab applications, covering task criteria, scoring, and assessment.
- Create testing harnesses and benchmarks to gauge model and data performance concerning precision, safety, robustness, speed, and cost.
- Construct large language model pipelines and agent setups to aid research, evaluation, and client testing.
- Execute fine-tuning, adapter, and model trials to analyze how data and techniques impact behavior.
- Deploy self-hosted or local models for assessment, inference, and automation processes.
- Record experimental setups, data, configurations, outcomes, and constraints to ensure reproducibility.
- Collaborate with the GenAI Research group and cross-functional teams to convert technical tasks into reusable client assets.
Requirements
- Three or more years of professional engineering or related industry background in software development or machine learning.
- Solid software engineering capabilities focused on dependable, maintainable artificial intelligence systems.
- Practical background in developing agent setups, reinforcement learning spaces, large language model pipelines, or comparable systems.
- Familiarity with constructing testing pipelines, benchmarks, or model assessment harnesses.
- Capacity to solve technical challenges independently and transition quickly from research concepts to working systems.
- Comprehension of experimentation principles, reproducibility standards, and technical documentation.
Qualifications
- Bachelor of Science, Master of Science, or Doctor of Philosophy degree in Engineering, Computer Science, Machine Learning, or a closely related technical discipline.
- Experience developing synthetic data generation frameworks or datasets.
- History of published research papers, benchmarks, or alternative technical studies.
- Familiarity with SWE-bench or comparable software engineering evaluation platforms.
- Background in building or launching local inference, open-weight models, or self-hosted environments.
Core Skills
Frequently Asked Questions
Is this an applied AI research engineer position remote?
Yes, the posting indicates that the position is remote.
What is the employment type for this job?
The position is a full-time role.
What salary does this position offer?
The job posting does not specify a salary for this role.
What degree is required to apply?
Applicants need a Bachelor's, Master's, or PhD in Computer Science, Engineering, Machine Learning, or a related technical field.
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