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Full-time
100% remote work, Body & Mind Movement program, Home office computer budget, Kindle with access to company library, Local public holidays respected, Growth opportunities
Posted 7d ago
~40 hrs/week
Remote in Lisbon, Portugal
Responsibilities
You will own analytical problems from start to finish, defining metrics for translation quality and AI performance. You will investigate patterns, test hypotheses, and provide evidence-based recommendations to improve machine translation systems.
Requirements
The role requires strong analytical thinking, experience with SQL or Python, and the ability to work independently on complex datasets. Candidates must be fluent in English and at least one additional language, with experience in evaluating AI output or translation quality.
Full job description
At OnTheGoSystems, we're building AI systems that help people translate content across many languages. Our LLM team works with AI-generated translations, user edits, customer feedback, and quality data to continuously improve translation quality.
We're looking for a Data Analyst who enjoys solving open-ended problems, finding patterns in complex datasets, and turning data into practical recommendations. This is not a reporting role. You'll decide what to measure, investigate why things happen, and help the team make better decisions based on evidence.
What you'll do
You'll own analytical problems from start to finish.
For example, you may discover that users edit translations much more often for one language pair than another. Instead of simply reporting it, you'll investigate why. You'll form hypotheses, gather the data, test possible explanations, and recommend the next steps.
Your work will include:
Defining meaningful metrics for translation quality, AI performance, and user behavior.
Monitoring trends and identifying unusual patterns or quality issues.
Turning observations into structured investigations and testing multiple hypotheses.
Extracting and combining data from SQL databases, NoSQL databases, logs, APIs, and CSV exports.
Comparing results across language pairs, AI models, providers, customers, content types, traffic levels, and other dimensions.
Separating real signals from coincidence by validating findings with data.
Building repeatable reports, scripts, and monitoring processes.
Communicating findings clearly to developers, product managers, and linguists.
Strong analytical thinking, curiosity, and attention to detail.
The ability to work independently and define what should be investigated.
Experience turning open-ended questions into structured analyses and actionable recommendations.
A solid understanding of metrics, segmentation, distributions, correlations, and the difference between correlation and causation.
Experience writing SQL, Python, or similar scripts to collect, clean, and analyze data.
Experience working with multiple data sources, including databases, logs, APIs, and exported datasets.
Strong hands-on experience using AI tools while critically evaluating their output.
Fluent English plus at least one additional language (preferably European), with the ability to assess translation quality and explain language issues.
Clear written communication and the ability to explain analytical findings to non-technical colleagues.
Bonus points for experience with:
Translation quality or localization.
Multilingual content.
Data visualization or business intelligence tools.
You'll work on real AI systems used by customers around the world and directly influence how we measure and improve machine translation quality.
This role is ideal for someone who enjoys exploring difficult questions, testing ideas, and discovering insights that aren't immediately obvious. You'll have the freedom to propose your own analyses and the responsibility to turn them into evidence-based recommendations.
What we offer
100% remote work.
Body & Mind Movement program.
Home office computer budget.
Kindle with access to our company library.
Local public holidays respected.
Excellent opportunities for growth.
Collaboration with talented colleagues across the globe.
If you're excited by data, languages, AI, and solving complex problems, apply now, and we'd love to hear from you!
Related keywords
Data AnalystAI systemsMachine translationSQLPythonNoSQLAPIsData visualizationBusiness intelligenceLocalizationMultilingualMetricsHypothesis testingRoot cause analysisLLMData cleaning
Fully-remote team, building innovative localization and translation tools.
Industry
Software Development
Company size
51-200 employees
Founded
2007
Headquarters
HK
LinkedIn followers
14,710
OnTheGoSystems builds localization and translation tools. More than 250,000 happy clients trust us and use our products on over 1,000,000 websites. We've been fully remote since 2007 and we're always looking for great developers, supporters and marketers to join our distributed team.
Most of our development team is located in European timezone (Europe, Middle East and Africa). We welcome supporters from all over the world, to provide round-the-clock support for our clients.
Offices: HK, HK
Business DevelopmentWordPressMultilingual ContentInternationalizationLocalizationTranslationWebsite Developmentand SaaSInformation TechnologyWeb Design
How many Science & Research jobs are open in Lisbon, Portugal right now?
There are currently 114 open science & research positions in Lisbon, Portugal listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Science & Research roles in Lisbon, Portugal?
Companies currently hiring include IQVIA, AniCura Portugal, CTI Clinical Trial and Consulting Services, Anyone App, AstraZeneca, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Science & Research jobs in Lisbon, Portugal?
Yes — 73 of the 114 open science & research positions offer remote or hybrid work (22 remote, 51 hybrid).
How do I apply for Science & Research jobs in Lisbon, Portugal?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.