AI Data Force: New Employment Gate in Artificial Intelligence
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AdminThe main power behind the technical success of artificial intelligence models is the inclusion of human labor systematically. On the webinar held in January 19, 20.00, the AcademyQ AI founder Gökhan Mutluy and AI Data Force project leader Yasemin Arslan shared a stunning data: If the success of an artificial intelligence model is based on 30% technology, 70% is shaped by human touch. The AI Data Force program described all details in this session was introduced as one of the most strategic employment moves of 2026 for professionals who want to convert university students and career.
The program aiming to create a specialty area that can not leave artificial intelligence without work, unlike, focuses on the model of "people who train the child." In this article, we will handle the new generation of career opportunities provided by AI Data Force, a vision and AcademyQ AI ecosystem, presented in the webinar, in the light of the current structure of the AI ecosystem.
AcademyQ AI’s Architect: Who Is Gökhan Mutlay?
Artificial intelligence ecosystem is one of the leading names in Turkey AaUppercaseA visionary educational entrepreneur and strategy. Mutlay, the founder and leader of the AcademyQ AI Business School, also serves as Managing Partner (CEO) in Acunmedya Academy. Mutlay, who is candidate to develop artificial intelligence-oriented business models and lead to digital transformation processes, manages critical projects especially for the preparation of young talents to the future economy.
The main focus of Mutlay is to prove that artificial intelligence is not just a matter of software, how new employment models will turn into an opportunity in Turkey and global market. Gökhan Mutlay is not only technological awareness with the AI Data Force program, but also aims to provide a professional formation that opens direct employment doors.
AcademyQ AI Ecosystem: 5 Critical Stop From Masqot to AssistantQ
Webinarda Gökhan Mutlay identified the ecosystem within the AcademyQ as a closed loop consisting of five different layers that feed each other. This ecosystem allows the user to be employed from education to academic development without measurement:
- AI Business School: Strategic decisions are taken, the business world of artificial intelligence center where integration is built.
- AI Data Force: The unit that has turned into professional employment in the field of trainings, representing operational strength.
- Tags: Measurement, score and certification platform of models. Turkish benchmark standards are determined here.
- AssistantQ: Artificial intelligence-supported training manager. Smart chatbot personalized learning journey with badge system and personalized quizzes, digitalizing the bond between the instructor and student academic success platform u.
- Masqot: Strongest bond established by universities; the ability pool of the ecosystem and Community Center Home.
EvalOps, DataOps and RedOps: 2026’s Most Popular 4 New titles
The AI Data Force project leader Jasmine Arslan marked four critical expertise in this new period, which turned into operational processes of artificial intelligence. These roles, AI Data Force The new generation of the graduates to be undertaken in the business world:
| New Generation Role | Focus Point | Technical Meeting |
|---|---|---|
| Home | Model Accuracy & Testing | systematically rated of outputs with human eye. |
| Data | Data Cleaning & Labeling | Perfect for the model training of raw data. |
| Content | AI Supported Content Strategy | Scale content production processes with data. |
| RedOps | Security & Ethics (Red Teaming) | Testing the ethical limits and safety of the models "by" |
28 Weekly Marathon: AI Data Force Training and Internship Curriculum
This process, which spreads to 7 months in total, aims to give participants more than an academic title, a "gold bracelet". The structure of the program is fictioned as follows:
- First 14 Weeks (Live Training): Average 2,5 hours of live lessons per week and weekly "challenge" assignments. Participants are experts in 12 different scenarios such as arithmetic, logic, bias detection and security.
- Next 14 Weeks (Internal and Project): Participants MetriQ platform u real models (GPT, Claude, Gemini etc. ) 8 basic parameter(directness, consistency, help, safety etc. ) points over.
At this stage, it is only enough to score; it is necessary to write detailed grounds focused on LLM rater training explaining analytical thinking behind each point.
Artificial Intelligence Career Without Writing Code: Who Can Be Folded?
The most exciting message of the webin is that the doors of the program are open to the island. There is no obligation to write code, legalists, philosophyists, literatureists and medical students can participate in this journey. Because artificial intelligence needs the human eye, which can see "right" in every language and in every field of expertise.
Rather than the technical knowledge of candidates in the interview process; discipline, saint and prone to teamwork are measured. Training Click here for the application link.
Turkish LLM Standards: Why Need Local Assessment Specialists?
The existing artificial intelligence benchmark tests are mostly English, can shade local language and cultural dynamics. AI Data Force aims to build completely Turkish AI benchmark standards by filling this gap. The models trained by local experts are highlighted to give much safer and accurate results.
At the end of the program, working doors are searched with varying fees from 50 to 250 per hour in the global market. The AcademyQ AI, which also employs successful graduates in its own ecosystem, aims to create a global impact with a local power association.
The basic message from the Webinar is: The speed of artificial intelligence does not frighten you; those who manage, control and train it will have the most robust seats in the economy of the future.
AdminYapay Zeka ve Teknoloji Staj İlanları | 19–26 Ocak 2026
Onero: Ev İşlerini Yapan Yapay Zekalı İnsansı Robot
