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Poll: What is the biggest barrier to a long-term career in AI data training?
מפרסם התגובה: ProZ.com Staff
ProZ.com Staff
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08:10

This forum topic is for the discussion of the poll question "What is the biggest barrier to a long-term career in AI data training?".

This poll was originally submitted by Ana Moirano. View the poll results »
 
Thayenga
Thayenga  Identity Verified
גרמניה
Local time: 15:13
חבר (2009)
מאנגלית לגרמנית
+ ...
Others 08:41

My non-existent desire to pursue one. SIGH YAWN

[Edited at 2026-10-18 12:56 GMT]

M. Anna Kańduła
Jennifer Levey
Maria Teresa Borges de Almeida
Daryo
Sabrina Bruna
writeaway
 
Maria Teresa Borges de Almeida
Maria Teresa Borges de Almeida  Identity Verified
פורטוגל
Local time: 14:13
חבר (2007)
מאנגלית לפורטוגזית
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Other 10:33

stock-vector-yawn-emoticon-vector-189803621

Thayenga
 
Jennifer Levey
Jennifer Levey  Identity Verified
צ'ילי
Local time: 10:13
מספרדית לאנגלית
+ ...
Let's turn that around... 11:08

The Poll asks:
"What is the biggest barrier to a long-term career in AI data training?".

Alternative poll question:
"Would you agree that AI data training is becoming the biggest barrier to a long-term career in almost anything (except, perhaps, crime and war-mongering)"?
JL

Thayenga
Sabrina Bruna
writeaway
 
Hipyan Nopri
Hipyan Nopri  Identity Verified
אינדונזיה
Local time: 20:13
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Professional Suicide 11:14

I voted for “Inconsistent project volume and pay rates,” as I believe it is the root cause of the other barriers.

Based on accounts from colleagues and translator communities, AI data training projects often end without notice, task availability fluctuates, and rates vary widely across vendors. Without a stable income, a long-term career is hardly possible. The lack of growth paths and the underappreciation of linguistic expertise largely stem from this short-term, low-paid mode... See more
I voted for “Inconsistent project volume and pay rates,” as I believe it is the root cause of the other barriers.

Based on accounts from colleagues and translator communities, AI data training projects often end without notice, task availability fluctuates, and rates vary widely across vendors. Without a stable income, a long-term career is hardly possible. The lack of growth paths and the underappreciation of linguistic expertise largely stem from this short-term, low-paid model, while unclear qualification standards are mainly a barrier to entry.

For translators, accepting such work would, in my view, amount to professional suicide: we would be lending our expertise, often at modest rates, to systems designed to reduce the demand for our services.

That is why I focus on translation, editing, and MTPE/AIPE, where expertise is better recognized. I respect colleagues who choose otherwise, but greater transparency on project continuity and rates would benefit everyone. ▲ Collapse
 


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Poll: What is the biggest barrier to a long-term career in AI data training?






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