Mariana S.-Advance AI Data Trainer
Check rate
Experience
Advance AI Data Trainer
Invisible Technologies
- Evaluated AI-generated responses in both text and audio formats, providing human feedback to improve accuracy, relevance, and tone.
- Contributed to reinforcement learning pipelines by generating high-quality training data that improved conversational models.
AI Data Annotator (RLHF/SFT)
Translated
- Applied Reinforcement Learning from Human Feedback (RLHF) and Supervised Fine-Tuning (SFT) techniques to train and optimize large-language-model outputs.
- Refined AI-generated responses by implementing linguistic and structural modifications to improve coherence, fluency, and contextual accuracy.
- Identified biases and inconsistencies in AI-generated text, providing structured feedback to enhance the model’s adaptability to real-world applications.
Data Annotator/QA
E2f
- Evaluated AI-generated text from a human-likeness and editorial perspective, selecting the most coherent and contextually relevant completions.
- Reviewed content across diverse prompt types, identifying tone mismatches and logic flaws in phrasing.
- Verified the accuracy and consistency of data sources, ensuring precise labeling.
Internet Ads Assessor
Telus International
- Evaluated and analyzed online advertisements for relevance, effectiveness, and compliance with platform policies.
- Examined different ad types (search, display, and video) and gave feedback on the quality of the ad copy and the landing page experience, which had a direct effect on how the algorithm changed the rankings.
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Information Technology and Professional Services.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Quality Assurance, Product Development, and Research and Development.
Skills
- Natural Language Processing (Nlp) Basics
- Fact-Checking & Information Verification
- Writing For Ai Training
- Data Labeling Platforms
- Google Workspace & Microsoft Office 360
- Ai Training & Evaluation Tools
- Time Management & Multitasking
- Attention To Detail & Analytical Thinking
- Adaptability & Fast Learning
Languages
Education
Universidad de Piura (UDEP)
Bachelor’s Degree in Service Administration (Incomplete) · Service Administration · Lima, Peru
Toulouse Lautrec (TLS)
Bachelor’s Degree in Multimedia and Audiovisual Communication · Multimedia and Audiovisual Communication · Lima, Peru
Statistics
Experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Mariana is based in Lima, Peru.
Mariana speaks the following languages: Spanish (Native), English (Advanced).
Mariana has at least 3 years of experience. During this time, Mariana has worked in at least 4 different roles and for 4 different companies. The average length of individual experience is 1 year and 8 months. Note that Mariana may not have shared all experience and actually has more experience.
Based on recent experience, Mariana would be well-suited for roles such as: Advance AI Data Trainer, AI Data Annotator (RLHF/SFT), Data Annotator/QA.
Mariana's most recent position is Advance AI Data Trainer at Invisible Technologies.
In recent years, Mariana has worked for Invisible Technologies, Translated, E2f, and Telus International.
Mariana is most experienced in industries like Information Technology, Professional Services, and Advertising.
Mariana is most experienced in business areas like Quality Assurance, Product Development, and Research and Development. Mariana also has some experience in Information Technology and Marketing.
Mariana holds a Bachelor in Service Administration from Universidad de Piura (UDEP) and a Bachelor in Multimedia and Audiovisual Communication from Toulouse Lautrec (TLS).
The availability of Mariana needs to be confirmed.
Daily rate distribution
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Average rates for similar positions
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 17 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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