Remote ML/NLP engineer jobs

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Role Overview

We are seeking a detail-oriented Computer-Using Agent (CUA) to perform structured automation tasks within Ubuntu-based virtual desktop environments. In this role, you will interact with real desktop applications using Python-based GUI automation tools, execute workflows with high accuracy, and document every step taken.

This is a hands-on execution role ideal for candidates who are comfortable working with Linux systems, virtualization tools, and repeatable task workflows in a controlled environment.

What Does the Day-to-Day Look Like?

• Set up and operate Ubuntu virtual machines using VMware or VirtualBox
• Automate mouse and keyboard interactions using Python-based GUI automation (e.g., PyAutoGUI)
• Execute predefined workflows across various Ubuntu desktop applications
• Ensure tasks are completed accurately and can be reproduced consistently
• Capture and document all actions, steps, and outcomes in a structured format
• Collaborate with the delivery team to refine automation scenarios and workflows

Required Skills & Qualifications

• Hands-on experience with Ubuntu/Linux desktop environments
• Working knowledge of PyAutoGUI or similar GUI automation frameworks
• Basic Python scripting and debugging skills
• Familiarity with VMware or VirtualBox
• Strong attention to detail and ability to follow step-by-step instructions
• Clear documentation and reporting skills

Application Domains

You will be expected to perform automation tasks across the following Ubuntu-based environments:

• os – Core Ubuntu desktop environment
• chrome – Ubuntu with Google Chrome
• gimp – Ubuntu with GIMP
• libreoffice_calc – LibreOffice Calc
• libreoffice_writer – LibreOffice Writer
• libreoffice_impress – LibreOffice Impress
• thunderbird – Thunderbird email client
• vlc – VLC media player
• vs_code – Visual Studio Code

Perks of Freelancing With Turing

• Fully remote work.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.

Offer Details:

• Commitments Required: 40 hours per week with 4 hours of overlap with PST. 
• Engagement  type  : Contractor assignment (no medical/paid leave)
• Duration of contract : 2 month

About the Client

Our mission is to bring community and belonging to everyone in the world. We are a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet.

About the Team

The Ads Content Understanding team’s mission is to build the foundational engine for interpretable and frictionless understanding of all organic and paid content on our platform. Leverage state-of-the-art applied ML and a robust Knowledge Graph (KG) to extract high-quality, monetization-focused signals from raw content — powering better ads, marketplace performance, and actionable business insights at scale.

We are seeking a Knowledge Graph Expert to help us grow and curate our KG of entities and relationships, bringing it to the next level.

About the Role

We are looking for a detail-oriented and strategic Knowledge Graph Curator. In this role, you will sit at the intersection of AI automation and human judgment. You will not only manage incoming requests from partner teams but also proactively shape the growth of our Knowledge Graph (KG) to ensure high fidelity, relevance, and connectivity. You will serve as the expert human-in-the-loop, validating LLM-generated entities and ensuring our graph represents the "ground truth" for the business.

Key Responsibilities

• Onboarding of new entities to the Knowledge Graph maintained by the Ads team
•  Data entry, data labeling for automation of content understanding capabilities
• LLM Prompt tuning for content understanding automation

What You'll Do

1. Pipeline Management & Prioritization

• Manage Inbound Requests: Act as the primary point of contact for partner teams (Product, Engineering, Analytics) requesting new entities or schema changes.
• Strategic Prioritization: Triage the backlog of requests by assessing business impact, urgency, and technical feasibility.

2. AI-Assisted Curation & Human-in-the-Loop

• Oversee Automation: Interact with internal tooling to review entities generated by Large Language Models (LLMs). You will approve high-confidence data, edit near-misses, and reject hallucinations.
• Quality Validation: Perform rigorous QA on batches of generated entities to ensure they adhere to the strict ontological standards and factual accuracy required by the KG.
• Model Feedback Loops: Participate in ad-hoc labeling exercises (creation of Golden Sets) to measure current model quality and provide training data to fine-tune classifiers and extraction algorithms.

3. Data Integrity & Stakeholder Management

• Manual Curation & Debugging: Investigate bug reports from downstream users or automated anomaly detection systems. You will manually fix data errors, merge duplicate entities, and resolve conflicting relationships.
• Feedback & Reporting: Close the loop with partner teams. You will report on the status of their requests, explain why certain modeling decisions were made, and educate stakeholders on how to best query the new data.

Qualifications for this role:

• Knowledge Graph Fundamentals: Understanding of graph concepts (Nodes, Edges, Properties)
• Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities.
• Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher is a strong plus.
• AI/LLM Familiarity: Understanding of how Generative AI works, common failure modes (hallucinations), and the importance of ground-truth data in training.

Operational & Soft Skills

• Analytical Prioritization: Ability to look at a list of 50 tasks and determine the 5 that will drive the most business value.
• Attention to Detail: An "eagle eye" for spotting inconsistencies, typos, and logical fallacies in data.
• Stakeholder Communication: Ability to translate complex data modeling concepts into clear language for non-technical product managers and business stakeholders.
• Tool Proficiency: Comfort learning proprietary internal tools, ticketing systems (e.g., Jira), and spreadsheet manipulation (Excel/Google Sheets).

Offer Details

• Full-time contractor or full-time employment, depending on the country
• Remote only, full-time dedication (40 hours/week)
• 8 hours of overlap with Netherlands
• Competitive compensation package.
• Opportunities for professional growth and career development.
• Dynamic and inclusive work environment focused on innovation and teamwork