Best Mercor alternatives in 2026

Tensorway is an AI engineering company from Alicante, Spain, founded in 2019, and the people behind its delivery process have been building software for more than twenty years. What sets its staffing service apart is who does the screening. Senior AI engineers review each candidate's code, set a practical task in the exact specialization the client asked for and check how the person communicates, so a CTO receives two or three people who have already passed a technical bar (per company website; independently unverifiable). The roles cover ML, computer vision, NLP, MLOps and RAG work. Smaller published projects include an agent that grades GAMSAT practice essays, invoice extraction for a fintech client and ball-hit detection for a fitness game (per company website; independently unverifiable).

How it differs from Mercor: Senior AI engineers run a code review and a specialization-specific task on every candidate. While Mercor excels at AI-run interviews and matching built for high-volume expert hiring, Tensorway is better for CTOs who want an engineer, not a recruiter, to have vetted every candidate before the first interview.

deepsense.ai has done AI work out of Warsaw since 2014, and its job listings describe a team of about 120 AI specialists who have delivered more than 200 commercial and research projects. Most of that team is employed directly, which matters if you want the same engineer for a year. The company sells team extension alongside its consulting work, and its recruiting ads ask for five or more years of production ML experience for senior roles. Strengths cluster around LLM and RAG systems, computer vision, defect detection and models that run on edge devices.

How it differs from Mercor: A research-heavy bench of about 120 employed AI specialists with ten years of production work. While Mercor excels at AI-run interviews and matching built for high-volume expert hiring, deepsense.ai is better for teams that need a senior ML researcher who can also put models into production.

Toptal, founded in 2010 and run as a remote-first company, is a freelance marketplace rather than an employer, and its AI pool covers machine learning, generative AI, NLP and LLM work. Its screening is the most documented of any network here. The FAQ describes a process of three to eight weeks: an English and communication check, algorithm and computer science tests, several technical interviews with senior engineers, and a test project. Toptal says fewer than 3% of applicants get through. New engagements start with a no-risk trial period. The trade-off is price and continuity, because freelancers set their own rates and can leave for another client.

How it differs from Mercor: Multi-stage screening that ends with interviews by senior engineers and a test project. While Mercor excels at AI-run interviews and matching built for high-volume expert hiring, Toptal is better for engineering leads who need one senior freelance ML specialist quickly and can pay a premium.

Proxify was founded in Stockholm in 2018 (one of its own pages says 2019) and matches companies with vetted developers across web, data, AI and DevOps. Candidates take Codility-based skills tests, then sit in-depth technical interviews with Proxify's senior engineers that include live coding and practical problems. The company quotes an acceptance rate of 1–3%, though the figure varies from page to page. Its network covers more than 5,000 professionals in over 90 countries, and it appeared on the Financial Times 1,000 list in 2025. Matching uses in-house AI tools alongside its hiring team.

How it differs from Mercor: Senior-engineer interviews with live coding after an automated skills test. While Mercor excels at AI-run interviews and matching built for high-volume expert hiring, Proxify is better for european companies that want a vetted ML or data engineer on European working hours.

InData Labs has worked on data science and AI since 2014 and is registered in Nicosia, Cyprus, with an office in Singapore. Clutch lists dedicated teams and staff augmentation among its core services, next to generative AI, computer vision and predictive analytics, and the company reports more than 150 delivered projects. It is an AWS partner. Directories put the team at roughly 70 to 80 people, all working on AI and data, so the people who interview candidates are practitioners in the same field. Computer vision and natural language processing are where its case studies are strongest.

How it differs from Mercor: Ten years of computer-vision and NLP delivery in an AI-only company. While Mercor excels at AI-run interviews and matching built for high-volume expert hiring, InData Labs is better for product teams that need a computer-vision or NLP engineer with shipped work in that exact area.

Quantiphi, based in Marlborough, Massachusetts and founded in 2013, is the largest company on this page that works only on AI and data, with directory estimates between 3,000 and more than 4,000 people. Its Elastic Staffing program, built with AWS, places generative AI and ML specialists into client teams. That scale is the reason it ranks here: no other AI-only supplier can staff ML, MLOps, data and LLM roles in parallel. Google Cloud named it 2025 AI Partner of the Year for North America. The cost is attention, since staffing is one product inside a large consulting business.

How it differs from Mercor: The biggest AI-only bench here, sold through a named staffing program with AWS. While Mercor excels at AI-run interviews and matching built for high-volume expert hiring, Quantiphi is better for enterprises that need many AI roles filled at once by one AI-only supplier.

Neurons Lab was founded in London in 2019 and works on AI research, development and consulting. Its own site describes a distributed talent network of more than 500 engineers, which is far larger than the 50 or so people directories list as staff. That network model lets it add ML, LLM and agent engineers to client teams without hiring each one first. It names banks and insurers among its clients and holds an AWS generative AI competency. The firm also works in healthtech and cleantech.

How it differs from Mercor: A 500-engineer network managed by a small AI-only core team in London. While Mercor excels at AI-run interviews and matching built for high-volume expert hiring, Neurons Lab is better for banks and insurers that need agent or LLM engineers who have worked under financial regulation.

Index.dev is a London company, founded in 2019 according to its own job ads, trading under the legal name Index Soft Limited. It calls itself an AI-first engineering talent platform. Its main network has more than 30,000 engineers in Latin America and Central and Eastern Europe, and a separate AI unit supplies Master's and PhD-level people for LLM fine-tuning and RAG work. Every engineer goes through five stages of vetting run by people, including a live screening call and technical validation, and Index.dev says about 1% are accepted. All placements come with a 30-day trial and a full refund if the match fails.

How it differs from Mercor: A 30-day trial with full refund on every placement. While Mercor excels at AI-run interviews and matching built for high-volume expert hiring, Index.dev is better for startups that want a 30-day refundable trial before committing to a remote ML engineer.

Vstorm has been in business in Wrocław since 2017 and now builds almost nothing but LLM and agent software, including retrieval-augmented generation systems. Clutch shows an overall score of 4.9 from verified reviews, an hourly band of $100 to $149 and a $10,000 minimum project. The team is small, between 10 and 49 people on Clutch, so the engineers it lends out are the same people who build its own agent projects. That makes it a good source of agent expertise but a poor one for headcount.

How it differs from Mercor: A team that works almost entirely on LLM agents and RAG. While Mercor excels at AI-run interviews and matching built for high-volume expert hiring, Vstorm is better for teams whose LLM agent prototype needs engineers who have shipped agents before.

Turing was founded in Palo Alto in 2018 and built its developer marketplace on automated vetting. A company executive has said its system evaluated about two million developers and passed more than 50,000 through technical exams and interviews. That machinery makes it fast for common roles. Its business has shifted, though: much of its revenue now comes from producing training data for AI labs, and in 2026 it recruits doctors and accountants for that work alongside engineers. Third-party guides estimate $100 to $200 an hour for mid to senior developers, but Turing publishes no rate card.

How it differs from Mercor: Automated vetting and matching across the largest developer pool on this page. While Mercor excels at AI-run interviews and matching built for high-volume expert hiring, Turing is better for companies that need many remote ML and data engineers quickly and value speed over hand-picked screening.

Andela started in 2014 in Lagos and is now headquartered in New York, running a private marketplace of engineers from Africa, Latin America and other regions. In January 2026 it acquired Woven, a company that builds technical assessments, to strengthen how it checks real engineering ability. It also runs an AI Academy and in 2025 committed to training 3,000 technologists in AI coding with GitHub. Profile counts in the six figures are unverified. Andela suits companies that want long-term remote engineers at lower cost than U.S. hiring, with screening that is becoming more rigorous but is still largely general software assessment.

How it differs from Mercor: Assessment tooling from its 2026 Woven acquisition plus an in-house AI training academy. While Mercor excels at AI-run interviews and matching built for high-volume expert hiring, Andela is better for companies building a long-term remote engineering group outside the U.S. that includes some ML roles.

Uvik Software has supplied Python engineers since 2015 and gives Tallinn, Estonia as its headquarters, with sales run from Ipswich in the UK. Its profile on Clutch says all engineers are full-time employees rather than freelancers, average seven to fourteen years of experience and pass a three-stage technical and behavioral assessment. Common work includes data platforms on Databricks or Snowflake, LLM integration and production support. Uvik says it presents profiles within 24 to 48 hours and scales squads of three to eight on 14-day terms. An aggregator reports a 30-day free replacement, which we could not confirm on Uvik's own pages.

How it differs from Mercor: A no-freelancer policy with senior Python engineers who average seven years or more. While Mercor excels at AI-run interviews and matching built for high-volume expert hiring, Uvik Software is better for python-heavy teams that want employed senior engineers rather than freelancers.

SciForce has worked on AI and data science since 2015, with R&D offices in Lviv and Kharkiv and a representative office in Tallinn. Directories list 50 to 99 people. The clearest evidence of its staffing work is a Clutch review from a financial services IT director describing an engagement from January 2019 to February 2023 in which SciForce sourced and placed engineering talent and supplied a team of six to ten. Medical data science is a notable specialty, alongside NLP and logistics AI.

How it differs from Mercor: Medical data science experience plus a documented multi-year placement engagement. While Mercor excels at AI-run interviews and matching built for high-volume expert hiring, SciForce is better for healthcare data teams that need NLP or data scientists familiar with medical data standards.

Fusemachines was founded in New York in 2013 to bring AI talent and education to underserved countries, and it trains and employs engineers in Nepal, the Dominican Republic and elsewhere. It began trading on the Nasdaq in October 2025 after a SPAC merger, which makes its finances public. Clients can take on its engineers as dedicated AI staff or buy its products and projects. Its training programs feed the bench, so junior and mid-level ML engineers are easier to find here than senior researchers.

How it differs from Mercor: Its own AI education programs feed an employed bench in emerging markets. While Mercor excels at AI-run interviews and matching built for high-volume expert hiring, Fusemachines is better for cost-conscious companies that want mid-level ML engineers from a publicly listed supplier.

Addepto was founded in Warsaw in 2017 and works on AI, ML and data engineering, mostly for industrial and automotive clients. KMS Technology acquired it in December 2025, so it now sits inside a larger U.S.-based IT group. Addepto supplies data and ML engineers for team extension as well as running projects. The acquisition may widen its bench over time, but buyers should expect changes to contracts and account management as the integration proceeds.

How it differs from Mercor: Data and ML engineers with industrial and automotive client history. While Mercor excels at AI-run interviews and matching built for high-volume expert hiring, Addepto is better for industrial and automotive companies that need data engineers who know factory data.

Folio3 has been in software since 2005 and runs a dedicated AI brand from its California base, with delivery mostly in Pakistan and offices in several other countries. Speed is the pitch. Folio3 says it can put vetted AI engineers on a project within 24 to 48 hours, with a two-week trial, from a pool that covers ML, NLP, computer vision, LLM and agent specialists. One case study describes a full MLOps team supplied to a vehicle-data company. The company claims more than 700 employees, while directories give lower figures.

How it differs from Mercor: Very fast start times with a two-week trial and offshore pricing. While Mercor excels at AI-run interviews and matching built for high-volume expert hiring, Folio3 is better for teams that need an MLOps or computer-vision engineer started within days on a low budget.

Azumo was founded in 2016, is headquartered in San Francisco and delivers mostly from Argentina, with an office in Rosario. Clutch lists an hourly band of $25 to $49 and a $10,000 minimum project, the lowest published rate on this page. It offers staff augmentation, dedicated nearshore teams and virtual CTO services, and it won a Clutch award as a top AI developer in 2023. Its engineers keep U.S. hours, so daily stand-ups are easy. The catch is depth. AI is a strong practice but one of several, and specialist experience varies by role.

How it differs from Mercor: The lowest published hourly band on this page with full U.S. time-zone overlap. While Mercor excels at AI-run interviews and matching built for high-volume expert hiring, Azumo is better for U.S. teams on a tight budget that need ML engineers who work their hours.

BairesDev was founded in Buenos Aires in 2009 and is now headquartered in San Francisco, with several thousand engineers across Latin America. It sells staff augmentation, dedicated teams and project delivery, and its AI practice covers ML, data engineering and generative AI. Its size means it can add many engineers quickly in U.S. time zones. AI is one practice inside a general software company, though, and its marketing volume is larger than the specialist evidence behind its AI work.

How it differs from Mercor: Thousands of Latin American engineers available in U.S. time zones. While Mercor excels at AI-run interviews and matching built for high-volume expert hiring, BairesDev is better for U.S. companies that need ML engineers alongside a larger nearshore software team.

N-iX has been in business since 2002, has its registered headquarters in Malta and does most of its delivery from Ukraine, Poland and other Central European countries. Company materials cite more than 2,400 engineers and staff augmentation as one of three engagement models. It is hiring ML engineers in 2026, and one listing seeks a lead computer-vision engineer for an external expert network that conducts technical interviews, which suggests specialists take part in its screening for senior roles. The firm is large and stable, but ML is a fraction of its work.

How it differs from Mercor: Scale and two decades of history in Central European delivery. While Mercor excels at AI-run interviews and matching built for high-volume expert hiring, N-iX is better for large companies that want ML and data engineers from an established Central European supplier.

Svitla Systems was founded in 2003 by Nataliya Anon and is based in Corte Madera, California, with Miami as a second U.S. base. It reports more than 1,300 employees, roughly 500 in Latin America and 500 in Ukraine, Poland and Romania. Its staff augmentation work gets good reviews for how well engineers fit into client teams, and its 2026 job ads seek agent and RAG engineers. Some Clutch reviewers say its vetting of senior engineers could be better, which matters for ML roles where seniority is the whole point.

How it differs from Mercor: Engineers in both Latin American and European time zones from one supplier. While Mercor excels at AI-run interviews and matching built for high-volume expert hiring, Svitla Systems is better for mid-size companies that want one supplier for ML engineers in both Latin America and Europe.

Data Science UA began in 2016 as a data science conference in Kyiv, founded by Aleksandra Boguslavskaya, and grew into a recruiting, outstaffing and AI consulting business. Recruiting is a core line, and it says hiring averages two to four weeks. Its community of AI engineers in Ukraine and beyond, quoted at 10,000 to 30,000 depending on the source, gives it reach that general agencies lack. The screening is recruiter-led, though, so the technical depth of each shortlist depends on how well you brief them and on your own interviews.

How it differs from Mercor: A large AI community and conference series that feeds its recruiting. While Mercor excels at AI-run interviews and matching built for high-volume expert hiring, Data Science UA is better for companies that want to hire Ukrainian ML engineers directly, with an outstaffing option meanwhile.

Tribe AI was founded in 2019 and is based in New York, with a core team of about 35 and a network of more than 300 machine learning engineers, strategists and data scientists, many of them from large tech companies. It describes itself as an AI strategy and services partner for enterprises. The network model makes it a good source of part-time senior experts for a defined problem. It is less suited to buyers who want a full-time engineer for a year, because network members often hold other roles.

How it differs from Mercor: Part-time access to senior ML practitioners from large tech companies. While Mercor excels at AI-run interviews and matching built for high-volume expert hiring, Tribe AI is better for leadership teams that want a part-time senior ML expert for one defined problem.

Strider was founded in 2021 by Neal Kemp and Nicole Barra Conde and is registered in Delaware, connecting U.S. companies with remote developers in Latin America. It covers sourcing, vetting, onboarding and retention. The company says every candidate is screened for English, background, culture fit and technical skill through role-specific technical and soft-skill assessments. It lists ML engineers among its hiring categories, but its pool is mostly general software talent, so ML-specific depth should be tested in your own interviews.

How it differs from Mercor: Hiring plus retention support for Latin American developers. While Mercor excels at AI-run interviews and matching built for high-volume expert hiring, Strider is better for U.S. startups that want to hire a Latin American ML developer directly.

Coderio was founded in 2017, is headquartered in Miami and employs around 220 people, mainly in Latin America. It supplies individual engineers or fully managed squads, which it says it can assemble within seven days, in time zones that match U.S. teams. Its AI/ML hiring page says its engineers have production experience rather than only notebook work. AI is one of several areas, and we found no detail on who runs its technical screens.

How it differs from Mercor: Squads assembled within seven days, with managed delivery as an option. While Mercor excels at AI-run interviews and matching built for high-volume expert hiring, Coderio is better for U.S. teams that need a managed nearshore squad with an ML engineer in it.

Qubit Labs launched in 2016 as a Ukrainian IT outstaffing company and is now listed with headquarters in Tallinn or Kyiv depending on the source. It builds remote dedicated teams in Ukraine, Poland, Moldova, Georgia, Romania and other countries, and in recent years it has added AI staff augmentation and deep tech recruiting. Screening is recruiter-led. The firm is a practical option for cost-conscious teams that know exactly what they want, but it has less proven ML depth than AI-only suppliers.

How it differs from Mercor: Recruiting across several lower-cost Eastern European countries. While Mercor excels at AI-run interviews and matching built for high-volume expert hiring, Qubit Labs is better for cost-conscious teams that can write a precise brief for an Eastern European ML hire.

micro1 was founded in 2022 by Ali Ansari and is based in California. Its AI recruiter, Zara, runs a structured interview of 20 to 40 minutes with every applicant. The company raised a Series A at a $500 million valuation in September 2025 and now earns most of its revenue supplying vetted experts to AI labs for model training. Engineering teams can still hire through it, but an automated interview is a different thing from a senior engineer reviewing code, and its focus has moved toward lab work.

How it differs from Mercor: Automated AI interviews that screen candidates in high volume. While Mercor excels at AI-run interviews and matching built for high-volume expert hiring, micro1 is better for AI teams that need many vetted contributors quickly for evaluation or data work.

Harnham has recruited for data and analytics roles since 2006 from London, with offices in the U.S. including New York and San Francisco. It places data engineers, data scientists and ML engineers on contract or permanent terms and runs a graduate training arm, Rockborne. As a recruitment agency, it screens through consultants who specialise in data hiring rather than through practising engineers, and contractors are not managed after placement the way a staffing firm's employees are. That makes it better for permanent hires than for managed augmentation.

How it differs from Mercor: Twenty years of recruiting only in data and analytics. While Mercor excels at AI-run interviews and matching built for high-volume expert hiring, Harnham is better for companies hiring permanent data or ML staff in the UK or U.S. through a specialist agency.

KORE1 is an IT and professional staffing agency headquartered in Irvine, California. Its own sources give both 1999 and 2005 as starting dates; we use 2005, the year in its company summary. It recruits on contract, contract-to-hire and direct-hire terms across IT, data and AI/ML, with pages for ML, LLM, MLOps and GenAI engineers. KORE1 reports an average time-to-hire of 17 days and 12-month retention of 92% for IT roles. Screening is done by recruiters, and AI is one category among many.

How it differs from Mercor: A U.S. staffing agency with contract-to-hire terms for AI roles. While Mercor excels at AI-run interviews and matching built for high-volume expert hiring, KORE1 is better for U.S. companies that want a local agency to recruit ML engineers on contract-to-hire terms.