Company: Turing

About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc. Main tasks listed: Analyze and triage GitHub issues across trending open-source libraries; Set up and configure code repositories, including Dockerization and environment setup; Evaluating unit test coverage and quality; Modify and run codebases locally to assess LLM performance in bug-fixing scenarios.

Job Title: Senior Software Engineer – LLM Evaluation & Repository Validation About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc. Main tasks listed: Analyze and triage GitHub issues across trending open-source libraries; Set up and configure code repositories, including Dockerization and environment setup; Evaluating unit test coverage and quality; Modify and run codebases locally to assess LLM performance in bug-fixing scenarios.

A well-established company that is leveraging the advanced power of technology to help realize the science-fiction fantasy of collaborative and open-ended computer dialogues, is looking for Go develoeprs. The engineer will be working together on the definition, design, and delivery of new features with cross-functional teams. The company is developing the next generation of dialog agents, which will have a wide range of uses in areas including education, entertainment, and general question-answering. Main tasks listed: Review the code / solutions generated by an AI system, ensuring adherence to quality standards and best practices; Organize the development cycle, effectively manage project priorities, and specify goals and deadlines; Use your expertise in Go programming to help resolve difficult coding issues that come up during AI validation; Create a collaborative environment within the team that encourages innovation, communication, and continued improvement.

In this role, you will be working on projects to help fine-tune large language models (like ChatGPT) using your strong analytical and English comprehension skills. The ideal candidate should have a solid foundation in STEM, particularly at the level expected in engineering entrance exams, as well as graduate or PhD-level programs. You should be able to break down complex STEM concepts into simple, clear explanations and work efficiently. Main tasks listed: Design and solve challenging STEMs problems to probe the limitations of large language models; Create clear, high-quality, step-by-step solutions with well-articulated reasoning; Collaborate with LLM researchers to align problems with evaluation goals, especially in areas where models typically struggle (e.g., abstraction, multi-step reasoning, symbolic manipulation); Help define new evaluation benchmarks based on Physics curricula spanning early undergraduate to PhD-level topics.

We are looking for an experienced Spanish Voice Actors with 3+ years of professional recording experience to deliver one hour of recorded audio as per the provided script. The ideal candidate can deliver clear, engaging, and versatile performances for a wide range of projects, including commercials, corporate narrations, e-learning, audiobooks, and digital media. You must be able to adapt tone, pitch, and style to suit different audiences while producing clean, studio-quality audio. Main tasks listed: Record voice-overs from a professional home studio or in-studio sessions; Perform lines with clarity, emotion, and appropriate pacing; Interpret scripts and take creative direction; Revise performances based on feedback. This work may involve recording or sharing personal data (for example voice, video or account activity): read the consent and privacy terms on the official page before applying.

Work with research teams to evaluate and improve how AI systems handle clinical reasoning. You’ll design evaluation methods that test AI performance on real medical problems where clinical expertise makes the difference. Design systematic evaluation frameworks for medical AI systems Main tasks listed: Work with research teams to evaluate and improve how AI systems handle clinical reasoning. You’ll design evaluation methods that test AI performance on real medical problems where clinical expertise makes the difference; Design systematic evaluation frameworks for medical AI systems; Create clinical scenarios that test AI reasoning and decision-making capabilities; Build assessment methods that capture the nuance of clinical practice.

We’re looking for a ML Developer to drive the design, development, and delivery of advanced machine learning solutions. The ideal candidate is not just a strong individual contributor but also a technical leader capable of setting direction, mentoring team members, and ensuring that ML initiatives align with business goals. Competitive ML experience (e.g., Kaggle, benchmarks) is a strong plus. Main tasks listed: Own end-to-end DS/ML solution development — from data pipelines and model design to deployment and monitoring; Translate business objectives into robust ML architectures that accurately capture business logic and context; Collaborate cross-functionally with Product, Engineering, and Business stakeholders to define problem statements and success metrics; Evaluate and optimize models for performance, scalability, and accuracy using state-of-the-art techniques.

As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go; evaluating and refining AI-generated code for efficiency, scalability, and reliability; and working with cross-functional teams to enhance enterprise-level AI-driven coding…

As a Delivery Leader for our LLM Training business, you will play a pivotal role in leading our efforts to develop high-quality, foundational LLMs. This position requires managing large teams of software engineers and data scientists dedicated to performing various Supervised Fine Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) tasks. Your leadership will ensure the delivery of superior SFT and RLHF datasets, achieving optimal outcomes in terms of quality, throughput, and cost. Main tasks listed: Lead and manage large teams (20+) of Python, JavaScript, Java (and other long tail of languages) developers to execute technical tasks effectively; Collaborate closely with researcher clients, ensuring their satisfaction with the delivered work; Maintain rigorous review processes to ensure the highest quality of datasets; Oversee the transition of projects from initiation to stable states, taking full responsibility for delivery.

We are seeking creative and detail-oriented professionals with strong visual interpretation skills to help advance large multimodal AI systems. In this role, you will work on annotating and analyzing videos or images or both, capturing intricate details such as people, objects, environments, relationships, emotions, and storytelling flow. Main tasks listed: Analyze short video clips and images to identify and annotate key visual and narrative components, including subjects, settings, actions, and emotions; Describe temporal sequences, scene transitions, and interactions in videos with high accuracy; Label complex visual cues such as mood, lighting, and spatial relationships; Follow detailed annotation guidelines to ensure consistency, clarity, and data quality.