About Turing
Based in San Francisco, California, Turing is the worldâs leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.
Recognized by Forbes, The Information, and Fast Company among the worldâs top innovators, Turingâs leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com
This is a remote role and can be performed anywhere in Colombia.
The Role
We are looking for a Research Engineer to help deliver frontier-quality datasets, RL environments, and evaluations that improve state-of-the-art models for leading AI labs and enterprise clients.
This is a hands-on, research-facing technical leadership role. You will work directly with customer researchers/engineers to translate their model and post-training goals into concrete data and environment specifications, and drive the production of data that meets extremely high standards for correctness, realism, diversity, difficulty, and measurable model lift.
This role is designed for candidates with roughly 4 to 5 years of experience building and improving deep learning systems, especially where strong results depend on data quality, data curation, denoising, synthetic data generation, and rigorous evaluation. Youâll operate in one or more of the following capability areas:
- Coding and software engineering agents (repositories, unit tests, debugging, tool use, code reviews, long-horizon workflows)
- RL environments and verifier-based training (tasks, rewards/verifiers, trajectories, evaluation harnesses)
- Multimodal data and reasoning (text + images + documents + tables/charts; optional audio/video)
Please mention the word **ENDORSES** and tag RMTU3LjI0NS4yNDcuMTE4 when applying to show you read the job post completely (#RMTU3LjI0NS4yNDcuMTE4). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.
Vequity is building the world’s most robust, contextualized buyer intelligence network for investment banks, private equity firms, and strategic acquirers — a platform with over 2.1 million buyer profiles, each containing ~100 structured and inferred data fields. Our proprietary AI agents continuously enrich, infer, and structure buyer intelligence at scale.
We need a fullstack engineer who ships product features end-to-end, brings real fluency with AI development tooling, and will take ownership of deployment pipelines that currently lack a dedicated owner.
This is a two-sided role: half building features that users see, half making the engineering team faster and more reliable. If you’ve actually built with Claude Code, Cursor, GitHub Copilot, or similar tools — not just experimented — and you can prove it with real output, we want to talk.
Apply at the original job on getonbrd.com.
What you’ll own
- Fullstack product development. Build and ship features across the Angular frontend and C# / Python backend. Translate product requirements into production-ready code. Write clean, tested, maintainable code with solid PR practices.
- AI-augmented development. Actively use AI coding tools (Claude Code, Cursor, GitHub Copilot, Windsurf, Aider) to accelerate your own development velocity. Improve team patterns and best practices for AI-assisted workflows. Evaluate and integrate new AI development tools as they emerge.
- Deployment and operations. Own and improve CI/CD pipelines, deployment automation, and infrastructure-as-code. Build monitoring, alerting, and incident response capabilities. Manage cloud infrastructure (GCP) including cost optimization and scaling. Create and maintain runbooks for operational procedures.
- Developer experience and tooling. Reduce friction in the development-to-deployment cycle. Improve local development environments, testing infrastructure, and developer workflows. Standardize build, lint, and test tooling across the codebase.
- Cross-functional collaboration. Work across product, engineering, and sales operations teams. Bridge feature development and infrastructure reliability. Participate in code reviews and mentor team members.
What success looks like in year one
- Shipping 2–3 features per sprint while maintaining code quality.
- Continuous deployment implemented within your first month.
- At least one improvement to the team’s AI-assisted workflow per week.
- Deployment pipeline has a clear owner with documented runbooks and <15 minute rollback capability within 3 months.
- Zero unplanned downtime from deployment issues within 6 months.
- Your teammates are measurably faster because of the tooling and patterns you’ve introduced.
What we’re looking for
Core requirements
- 4+ years fullstack development experience with Angular + Python or C# backends.
- Demonstrated production use of AI coding tools (Claude Code, Cursor, GitHub Copilot) — must be able to show concrete examples of how these tools changed your workflow and output.
- Experience with CI/CD pipelines, containerization (Docker), and cloud deployment (GCP preferred, AWS acceptable).
- Solid understanding of DevOps practices: infrastructure-as-code, monitoring, logging, alerting.
- Strong written English — this is a remote, async-heavy role with a US-based team.
- Comfort working in a fast-paced startup where priorities shift and ownership is expected.
Nice to have
- Github Actions experience is a big plus
- Experience owning deployment pipelines end-to-end in a startup environment.
- Terraform or Pulumi for infrastructure-as-code.
- Kubernetes or Cloud Run experience on GCP.
- Background in B2B SaaS or data-intensive platforms.
- Experience with PostgreSQL and data-heavy applications.
- Familiarity with the Python data tooling ecosystem (even if not a data engineer).
- Contributions to open source or public examples of AI-augmented development work.
Compensation and benefits
We pay competitively for the LATAM market and we’re transparent about it.
- Time off: Manage your own schedule. We trust you.
- Health: $150/month health and wellness stipend.
- Engagement: B2B contract. 30-day mutual notice.
How we work
- Fully remote. We are based in Denver, Colorado (MT, UTC-7). You can work from Mexico, Colombia, Argentina, Brazil, Chile, or anywhere in the Americas with strong overlap.
- Same time zone. We expect significant daily overlap with Central Standard Time (CT). LATAM time zones are ideal — this is a key reason we’re hiring in the region.
- Async-first. We write things down. Docs, Loom videos, and thoughtful PR descriptions are the norm. Meetings happen when they’re the fastest path to clarity, not by default.
- Small team, direct access. You will work directly with the Head of Engineering and the founder. No middle management. Your work ships fast.
Vequity is building the world’s most robust, contextualized buyer intelligence network for investment banks, private equity firms, and strategic acquirers — a platform with over 2.1 million buyer profiles, each containing ~100 structured and inferred data fields. Our proprietary AI agents continuously enrich, infer, and structure buyer intelligence at scale.
We need a fullstack engineer who ships product features end-to-end, brings real fluency with AI development tooling, and will take ownership of deployment pipelines that currently lack a dedicated owner.
This is a two-sided role: half building features that users see, half making the engineering team faster and more reliable. If you’ve actually built with Claude Code, Cursor, GitHub Copilot, or similar tools — not just experimented — and you can prove it with real output, we want to talk.
This company only accepts applications on Get on Board.
What you’ll own
- Fullstack product development. Build and ship features across the Angular frontend and C# / Python backend. Translate product requirements into production-ready code. Write clean, tested, maintainable code with solid PR practices.
- AI-augmented development. Actively use AI coding tools (Claude Code, Cursor, GitHub Copilot, Windsurf, Aider) to accelerate your own development velocity. Improve team patterns and best practices for AI-assisted workflows. Evaluate and integrate new AI development tools as they emerge.
- Deployment and operations. Own and improve CI/CD pipelines, deployment automation, and infrastructure-as-code. Build monitoring, alerting, and incident response capabilities. Manage cloud infrastructure (GCP) including cost optimization and scaling. Create and maintain runbooks for operational procedures.
- Developer experience and tooling. Reduce friction in the development-to-deployment cycle. Improve local development environments, testing infrastructure, and developer workflows. Standardize build, lint, and test tooling across the codebase.
- Cross-functional collaboration. Work across product, engineering, and sales operations teams. Bridge feature development and infrastructure reliability. Participate in code reviews and mentor team members.
What success looks like in year one
- Shipping 2–3 features per sprint while maintaining code quality.
- Continuous deployment implemented within your first month.
- At least one improvement to the team’s AI-assisted workflow per week.
- Deployment pipeline has a clear owner with documented runbooks and <15 minute rollback capability within 3 months.
- Zero unplanned downtime from deployment issues within 6 months.
- Your teammates are measurably faster because of the tooling and patterns you’ve introduced.
What we’re looking for
Core requirements
- 4+ years fullstack development experience with Angular + Python or C# backends.
- Demonstrated production use of AI coding tools (Claude Code, Cursor, GitHub Copilot) — must be able to show concrete examples of how these tools changed your workflow and output.
- Experience with CI/CD pipelines, containerization (Docker), and cloud deployment (GCP preferred, AWS acceptable).
- Solid understanding of DevOps practices: infrastructure-as-code, monitoring, logging, alerting.
- Strong written English — this is a remote, async-heavy role with a US-based team.
- Comfort working in a fast-paced startup where priorities shift and ownership is expected.
Nice to have
- Github Actions experience is a big plus
- Experience owning deployment pipelines end-to-end in a startup environment.
- Terraform or Pulumi for infrastructure-as-code.
- Kubernetes or Cloud Run experience on GCP.
- Background in B2B SaaS or data-intensive platforms.
- Experience with PostgreSQL and data-heavy applications.
- Familiarity with the Python data tooling ecosystem (even if not a data engineer).
- Contributions to open source or public examples of AI-augmented development work.
Compensation and benefits
We pay competitively for the LATAM market and we’re transparent about it.
- Time off: Manage your own schedule. We trust you.
- Health: $150/month health and wellness stipend.
- Engagement: B2B contract. 30-day mutual notice.
How we work
- Fully remote. We are based in Denver, Colorado (MT, UTC-7). You can work from Mexico, Colombia, Argentina, Brazil, Chile, or anywhere in the Americas with strong overlap.
- Same time zone. We expect significant daily overlap with Central Standard Time (CT). LATAM time zones are ideal — this is a key reason we’re hiring in the region.
- Async-first. We write things down. Docs, Loom videos, and thoughtful PR descriptions are the norm. Meetings happen when they’re the fastest path to clarity, not by default.
- Small team, direct access. You will work directly with the Head of Engineering and the founder. No middle management. Your work ships fast.
About Turing
Based in San Francisco, California, Turing is the worldâs leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.
Recognized by Forbes, The Information, and Fast Company among the worldâs top innovators, Turingâs leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com
This is a remote role and can be performed anywhere in Colombia.
The Role
We are looking for a Research Engineer to help deliver frontier-quality datasets, RL environments, and evaluations that improve state-of-the-art models for leading AI labs and enterprise clients.
This is a hands-on, research-facing technical leadership role. You will work directly with customer researchers/engineers to translate their model and post-training goals into concrete data and environment specifications, and drive the production of data that meets extremely high standards for correctness, realism, diversity, difficulty, and measurable model lift.
This role is designed for candidates with roughly 4 to 5 years of experience building and improving deep learning systems, especially where strong results depend on data quality, data curation, denoising, synthetic data generation, and rigorous evaluation. Youâll operate in one or more of the following capability areas:
- Coding and software engineering agents (repositories, unit tests, debugging, tool use, code reviews, long-horizon workflows)
- RL environments and verifier-based training (tasks, rewards/verifiers, trajectories, evaluation harnesses)
- Multimodal data and reasoning (text + images + documents + tables/charts; optional audio/video)
Please mention the word **ENDORSES** and tag RMTU3LjI0NS4yNDcuMTE4 when applying to show you read the job post completely (#RMTU3LjI0NS4yNDcuMTE4). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.
🇨🇴 Remote Rust jobs from Colombia: 2026 overview
The remote Rust job market for professionals in Colombia has grown steadily since 2020 and is today one of the most concrete paths to earn in USD from Bogotá, Medellín or any city in the country. The typical salary range is $4,500 - $12,000 USD/mes, several times above the equivalent salary in the local market. Companies like GitLab, Crossover, Cloudflare, Toptal regularly hire Rust profiles from Colombia, either as contractors or employees through platforms like Deel or Remote.com. The most in-demand stack combines Rust with Systems Programming, Blockchain, Webassembly. On the operational side, the most used payment methods are Wise, Deel, Payoneer, and the Colombia timezone (GMT-5) offers natural overlap with the US East Coast and European morning hours, making it one of the most attractive regions for US and EU companies looking to hire nearshore talent. For professionals just starting in remote, the most profitable path is usually to begin with agencies like Toptal or Crossover (demanding technical filters but stable contracts) and later migrate to a full-time role at a product company. This page updates daily the active Rust offers available for Colombia, filtered so you only see 100% remote roles compatible with your location.
Salario
$4,500 - $12,000 USD/mes
Zona horaria
GMT-5
Posiciones
4
Pago
USD (cobro internacional)
How much a remote Rust earns in Colombia by seniority
Estimated ranges in USD/month. In Colombia these amounts are typically 2x to 4x an equivalent local salary, depending on tax regime.
| Level | Experience | Range USD/month |
|---|---|---|
| Junior | 0-2 yrs | $4,500 - $6,375 |
| Mid-level | 2-4 yrs | $6,000 - $8,625 |
| Senior | 4-7 yrs | $8,250 - $10,875 |
| Lead/Staff | 7+ yrs | $10,125 - $12,000 |
How to get paid as a Rust from Colombia
Most used payment methods
- Wise
- Deel
- Payoneer
Tax regime
Most common is Régimen Simple or Régimen Ordinario with RUT. Service exports are VAT-exempt under specific tax statute requirements.