Remote NLP Engineer (Python)

Turn Unstructured Data Into Human Understanding—From Anywhere

Can you find the signal in a sea of words? Your algorithms will do more than parse text—they’ll empower millions to find answers, automate complex workflows, and turn raw data into real business value. If you’re passionate about turning ambiguous language into actionable intelligence, we’re ready to hand you the tools to change how organizations communicate and learn.

Why This Role Matters

Language is the bridge to every customer experience, internal insight, and data-driven decision. As an NLP Engineer working fully remote, your breakthroughs will power more intelligent search, real-time chatbots, sentiment analysis, and content moderation at scale. Your models won’t just crunch numbers—they’ll unlock empathy and clarity in a noisy digital world.

How You’ll Make an Impact

Your curiosity will fuel projects that range from training deep neural networks on massive text corpora to designing custom tokenization and embedding pipelines that improve user outcomes at every touchpoint. Perhaps you’ll develop an intent detection engine that makes virtual assistants genuinely helpful. Or possibly your sequence-to-sequence models will help teams summarize mountains of legal documents into actionable insights in seconds.

Here, every experiment you run and every feature you ship directly impacts thousands of end-users, from medical professionals relying on entity extraction to marketers searching for trends in customer sentiment. When your models surface the correct answer at the right moment, you’ll feel the ripple of your work across industries.

What You’ll Tackle

• Architect NLP pipelines using Python, spaCy, and PyTorch, balancing accuracy and scalability for production workloads.
• Experiment with transformer-based architectures (BERT, GPT, RoBERTa) to push the limits of entity recognition and question answering.
• Enhance information retrieval systems that sift through millions of records to deliver the insights that matter most to global teams.
• Partner with product, design, and customer success, so language solutions actually solve real user needs, not just technical ones.
• Automate labeling and active learning workflows to keep your models up to date as language evolves.
• Design robust evaluations and error analyses to sharpen performance and surface edge cases early.
• Mentor junior engineers, review code, and build a documentation culture where complex NLP solutions are accessible to all.

Our Day-to-Day Workflow

You’ll join a distributed team that values deep work and asynchronous communication. We move quickly—deploying and testing new features in short cycles—but you’ll always have time to dive deep on tough challenges. With tools like Notion, GitHub, and Slack, you’ll collaborate across time zones, brainstorm new ideas, and keep projects moving, no matter where you’re based.

Your workday is flexible: structure it for deep concentration or spontaneous collaboration. You’ll present findings in team demos, celebrate small wins, and learn from failures together. Whether it’s designing a custom text classification model for healthcare or optimizing sentiment scoring for eCommerce, you’ll see the impact of your code in production.

Technologies & Tools You’ll Use

• Python for all things NLP, from rapid prototyping to robust API development
• Hugging Face Transformers and TensorFlow for building, fine-tuning, and deploying state-of-the-art models
• Docker and cloud platforms (AWS, GCP) for seamless deployment and scalability
• Elasticsearch and SQL for lightning-fast querying and semantic search
• Version control via GitHub, code reviews, and CI/CD to keep everything shipshape and collaborative

Your Superpowers

You see language not just as data, but as an opportunity. You might have built machine translation systems, or maybe you’ve designed dialogue agents that actually sound human. You think holistically, considering not just the model’s F1 score, but its bias, latency, and user delight.

You simplify technical ideas for non-technical audiences—whether it’s over a Zoom demo or a quick diagram in Slack. Your documentation helps others build on your work. When someone gets stuck, you’re there to help, making the hard stuff accessible.

You have a knack for catching subtle data drifts before they become production headaches. You treat every model as a work in progress, continually seeking new data sources, innovative architectures, and improved benchmarks. You thrive in ambiguity and love tackling open-ended problems.

Experience That Sets You Up for Success

• Extensive hands-on experience with modern NLP: Named Entity Recognition, intent classification, topic modeling, and more
• Prior work implementing and scaling transformer-based models for real-world applications
• Proficiency in Python, with deep familiarity with open-source NLP libraries
• Experience building APIs and deploying ML models to production environments
• A history of partnering with cross-disciplinary teams to launch features that 10,000+ users rely on every day
• Demonstrated academic achievement or practical experience in analytical or technical disciplines—such as linguistics, cognitive science, data science, mathematics, or engineering—but your expertise and hands-on skills are what truly count.

Growth, Learning & Collaboration

Your career won’t stall here. You’ll get the autonomy to pitch new NLP features, drive technical strategy, and even publish research. Learning never stops: you’ll attend virtual conferences, join reading groups, and help define the future of natural language understanding at scale.

We trust you to drive meaningful change, not just follow checklists. That means challenging assumptions, sharing honest feedback, and lifting others as you grow. Every voice counts—and we make sure everyone is heard.

Compensation & Benefits

You’ll be recognized for your expertise and impact with an annual salary of **$130,000 **, plus flexible perks designed for global remote work. You’ll have full ownership of your time, room to innovate, and the support to do your best work from anywhere.

Ready to Join Us?

If building human-centric NLP solutions excites you, and you want to see your work shaping smarter, kinder technology worldwide, let’s build something purposeful together. Bring your ideas, your expertise, and your curiosity. We’re ready to meet you.