Clera is hiring a Mid-Level Research Engineer, Benchmarks for an on-site position in Singapore. The role is focused on artificial intelligence research and engineering, with an emphasis on developing reliable benchmarks for evaluating AI agents and large language models on realistic, domain-specific workflows.
The position is suitable for software engineers, machine learning engineers, and AI researchers with experience in AI benchmarks, evaluation systems, agent environments, and related technologies.
Visa sponsorship is available for eligible international candidates, making this an opportunity worth considering for professionals looking to work in Singapore.
Job Details
- Employer: Clera
- Position: Mid-Level Research Engineer, Benchmarks
- Location: Singapore, Singapore
- Work Arrangement: On-site
- Employment Type: Full-time
- Industry: Artificial Intelligence / Information Technology
- Salary: 100,000–170,000 USD per year
- Experience: Approximately 2–4 years
- Education: Bachelor’s degree
- Visa Sponsorship: Available
About the Role
The successful candidate will join a technical research and engineering team responsible for creating rigorous benchmarks that measure how effectively AI agents perform realistic tasks.
You will take ownership of benchmark design and implementation, work with subject-matter experts, develop evaluation infrastructure, and analyse results to determine the reliability and real-world relevance of AI evaluation systems.
This role offers an opportunity to contribute to AI research while working on practical evaluation challenges involving modern AI agents and large language models.
Key Responsibilities
As a Mid-Level Research Engineer, you will:
- Design, implement, and maintain AI agent benchmarks.
- Develop realistic evaluation tasks based on real-world workflows.
- Collaborate with subject-matter experts to establish evaluation criteria.
- Build infrastructure for running AI models and agents at scale.
- Develop metrics and statistical analyses to measure benchmark quality.
- Investigate benchmark difficulty, reliability, and AI failure modes.
- Validate benchmark results against real-world performance.
- Produce technical documentation and research reports.
- Work independently while collaborating with a small technical team.
Requirements
Candidates should have:
- 2–4 years of experience in software engineering, machine learning engineering, AI research, or a related field.
- At least two years of experience working with AI benchmarks, evaluations, or agent environments.
- Practical experience designing and operating evaluation infrastructure for AI agents or large language models.
- Strong Python programming skills.
- Experience with Docker and Linux environments.
- Experience working with subject-matter experts to model technical or business workflows.
- Knowledge of metrics, statistical analysis, or validation studies.
- Strong technical writing and communication skills.
- Excellent attention to detail.
- Ability to work independently in an early-stage environment.
Experience with reinforcement learning pipelines, data generation, or AI agent evaluation is an advantage. Published research or technical writing focused on AI evaluation may also strengthen an application.
Salary and Visa Sponsorship
Clera offers an annual salary range of:
$100,000 to $170,000 USD
Visa sponsorship is available for eligible international applicants. The listing indicates Singapore work authorisation categories including Employment Pass and S Pass, subject to the applicable requirements.
Applicants should confirm the specific visa or work pass arrangements with Clera during the recruitment process.
Who Should Apply?
This opportunity may be particularly suitable for professionals with backgrounds in:
- Artificial intelligence.
- Machine learning.
- Software engineering.
- AI evaluation.
- Large language models.
- Research engineering.
- Reinforcement learning.
- Data generation.
- AI agent development.
International candidates who meet the experience and technical requirements can consider applying because visa sponsorship is available.
How to Apply
Interested candidates should submit their application through the employer’s official recruitment page.
Applicants should prepare an updated CV or resume highlighting their experience with Python, AI evaluation, machine learning, benchmarks, agent environments, Docker, Linux, and related technical projects.
Location: Singapore, Singapore
Salary: 100,000–170,000 USD annually
Visa Sponsorship: Available
OpportunityShape Disclaimer: OpportunityShape shares job postings that may offer visa sponsorship or international work opportunities. Sponsorship availability does not guarantee that an applicant will qualify for a work visa or receive sponsorship. Applicants should review the employer’s official vacancy and confirm the latest requirements, salary, sponsorship arrangements, and eligibility before applying. OpportunityShape does not guarantee employment or visa approval.
